Infectious Diseases Institute (IDI)

The Infectious Diseases Institute (IDI) is a Ugandan not-for-profit organization whose mission is to strengthen health systems in Africa, with strong emphasis on infectious diseases, through research and capacity development. IDI has six operational areas through which it works to achieve its mission: Prevention, Care and Treatment; Training, Research, Laboratory services (including the CAP-certified IDI Core Lab & Translational Lab), Global Health Security and Health System Strengthening.

Students intending to pursue their internships with IDI and volunteers should submit their applications through this HR online application Portal.

Please follow the link to register for Internship or Volunteering, or login.

Available Job Opportunities

Call for applications: Funded Research Year MSc Fellowship Opportunities at Makerere University

 

Empowering Uganda’s Women in Health Data Science: Identifying Barriers, Bridging Knowledge and Innovation for Tangible Impact: She Data Science (SHEDS)

 

Call open:   May 13th, 2024  

Call closes: June 20th, 2024    

Proposed start: September 2nd, 2024

 

The She Data Science (SHEDS) project is pleased to invite suitable applications from females for two fully funded PhD fellowships for the year 2024. SHEDS is a collaborative initiative between the African center of Excellence in Bioinformatics and Data Intensive Sciences, Infectious Diseases Institute, Makerere University, Kampala, Uganda and the Institute of Global Health Sciences (IGHS) at the University of California San Francisco (­­­­UCSF), USA.

 

About the SHEDS program

The increasing adoption of technologies like mobile phones, high throughput genomic sequencing, IoT and electronic health records is accelerating the buildup of an avalanche of data: clinical, genomic, epidemiological, climate-related and social/behavioral data. These growing volumes and complexity of data, render the rapidly expanding field of “Big Data” analysis and interpretation essential to improving health and economic outcomes.

 

Data Science (DS­­­), which encapsulates Machine Learning and Artificial Intelligence (AI) provides a pathway to the leveraging and enhancement of these data into meaningful and actionable information. However, the highly technical nature of DS as well its powerful potential, simultaneously pause the risk of ‘leaving behind’ sections of the population that have already been disadvantaged. In Uganda in particular, the high gender disparity within STEM fields means that women are more likely to be left behind, resulting in the unintended consequence of DS further widening the gender gap in STEM.

 

This program is thus going to target the training and advancement of Ugandan women in data science and (or) bioinformatics. It achieves this goal through three critical areas: 1) Skilling women in data science / bioinformatics methods and techniques, 2) identify barriers to women in STEM, Data Science and bioinformatics 3) Providing a bridge to help trainees translate their data science skills into biomedical and public health practice.

 

Benefits of the program

  • There are two fellowships that will provide a stipend to two MSc students during the research year.
  • Research clearance fees for MSc student project.
  • World class health data science mentorship from some of the best mentors in the field.

 

Research concept

The research concept should be one that employs data science, mathematical and (or) bioinformatics to any of the following areas: a) Antimicrobial resistance (AMR) including the design of antimicrobial drug combination therapies, identifying One Health AMR transmission pathways, and utilizing data science methodologies to guide antimicrobial stewardship initiatives; b) Human Genomics including the role of repeats in the human genome; c) cancer including cancer genomics and genomics data science; and d) Natural Language Processing (NLP) and (or) generative AI solutions for health problems.
 

Submission

Submit the following documents as a single pdf file

  1. Certified copies of relevant academic documents.
  2. Two reference letters from academic referees
  3. Statement of motivation (max 1000 words)
  4. Your idea for the research project (single page)
  5. An updated CV (max 4 pages)

 

Application deadline: June 20th 2024

NB:

  • This is a full-time MSc scholarship. It is expected that the intending applicant is not involved in any other form of study or employment.
  • Only successful candidates will be notified.
  • Although this opportunity is majorly targeted towards females, exceptionally qualified males are encouraged to apply.
More Details
MSACE002
2
Kampala
Part-time
1 Years
BIOINFORMATICS SCIENTIST
2024-05-07 09:18:46.000

Call for applications: Fully Funded 2-year MSc Fellowship Opportunities at Makerere University

 

Empowering Uganda’s Women in Health Data Science: Identifying Barriers, Bridging Knowledge and Innovation for Tangible Impact: She Data Science (SHEDS)

 

Call open:   May 13th, 2024   

Call closes: June 20th, 2024    

Proposed start: September 2nd, 2024

 

The She Data Science (SHEDS) project is pleased to invite suitable applications from females for two fully funded PhD fellowships for the year 2024. SHEDS is a collaborative initiative between the African center of Excellence in Bioinformatics and Data Intensive Sciences, Infectious Diseases Institute, Makerere University, Kampala, Uganda and the Institute of Global Health Sciences (IGHS) at the University of California San Francisco (­­­­UCSF), USA.

 

About the SHEDS program

The increasing adoption of technologies like mobile phones, high throughput genomic sequencing, IoT and electronic health records is accelerating the buildup of an avalanche of data: clinical, genomic, epidemiological, climate-related and social/behavioral data. These growing volumes and complexity of data, render the rapidly expanding field of “Big Data” analysis and interpretation essential to improving health and economic outcomes.

 

Data Science (DS­­­), which encapsulates Machine Learning and Artificial Intelligence (AI) provides a pathway to the leveraging and enhancement of these data into meaningful and actionable information. However, the highly technical nature of DS as well its powerful potential, simultaneously pause the risk of ‘leaving behind’ sections of the population that have already been disadvantaged. In Uganda in particular, the high gender disparity within STEM fields means that women are more likely to be left behind, resulting in the unintended consequence of DS further widening the gender gap in STEM.

 

This program is thus going to target the training and advancement of Ugandan women in data science and (or) bioinformatics. It achieves this goal through three critical areas: 1) Skilling women in data science / bioinformatics methods and techniques, 2) identify barriers to women in STEM, Data Science and bioinformatics 3) Providing a bridge to help trainees translate their data science skills into biomedical and public health practice.

 

Benefits of the program

  • There are two fully funded MSc fellowships that will provide tuition and a stipend for a 2-year full-time MSc degree.
  • Research clearance fees for MSc student project.
  • World class health data science mentorship from some of the best mentors in the field.

Submission

Submit the following documents as a single pdf file 

  1. Certified copies of relevant academic documents
  2. Two reference letters from academic referees
  3. Statement of motivation (max 1000 words)
  4. An updated CV (max 4 pages)

Application deadline: June 20th 2024
 

NB:

  • This is a full-time MSc scholarship. It is expected that the intending applicant is not involved in any other form of study or employment.
  • Only successful candidates will be notified.
  • Although this opportunity is majorly targeted towards females, exceptionally qualified males are encouraged to apply.
More Details
MSACE001
2
Kampala
Part-time
2 Years
BIOINFORMATICS SCIENTIST
2024-05-07 08:05:51.000

Call for applications: Fully Funded PhD Fellowship Opportunities for Females at Makerere University

 

Empowering Uganda’s Women in Health Data Science: Identifying Barriers, Bridging Knowledge and Innovation for Tangible Impact: She Data Science (SHEDS)

 

Call open:   May 13th, 2024   

Call closes: June 20th, 2024    

Proposed start: September 2nd, 2024


The She Data Science (SHEDS) project is pleased to invite suitable applications from females for two fully funded PhD fellowships for the year 2024. SHEDS is a collaborative initiative between the African center of Excellence in Bioinformatics and Data Intensive Sciences(ACE), Infectious Diseases Institute (IDI), Makerere University, Kampala, Uganda and the Institute of Global Health Sciences (IGHS) at the University of California San Francisco (­­­­UCSF), USA.

 

About the SHEDS program

The increasing adoption of technologies like mobile phones, high throughput genomic sequencing, IoT and electronic health records is accelerating the buildup of an avalanche of data: clinical, genomic, epidemiological, climate-related and social/behavioral data. These growing volumes and complexity of data, render the rapidly expanding field of “Big Data” analysis and interpretation essential to improving health and economic outcomes.

 

Data Science (DS­­­), which encapsulates Machine Learning and Artificial Intelligence (AI) provides a pathway to the leveraging and enhancement of these data into meaningful and actionable information. However, the highly technical nature of DS as well its powerful potential, simultaneously pause the risk of ‘leaving behind’ sections of the population that have already been disadvantaged. In Uganda in particular, the high gender disparity within STEM fields means that women are more likely to be left behind, resulting in the unintended consequence of DS further widening the gender gap in STEM.

 

This program is thus going to target the training and advancement of Ugandan women in data science and (or) bioinformatics. It achieves this goal through three critical areas: 1) Skilling women in data science / bioinformatics methods and techniques, 2) identify barriers to women in STEM, Data Science and bioinformatics 3) Providing a bridge to help trainees translate their data science skills into biomedical and public health practice.

 

Benefits of the program

  • There are two fully funded PhD fellowships that will provide tuition and a stipend for a duration of upto 3 years.
  • Spend upto 3 months at UCSF, USA in a data science related research lab with a paid economy class return ticket, accommodation and stipend for stay at UCSF.
  • Institutional IRB fees for PhD project.
  • UNCST fees for PhD project.
  • Open Access Publication fees for up to 2 publications.
  • World class health data science mentorship from some of the best mentors in the field.

 

Research concept

The research concept should be one that employs data science, mathematical and (or) bioinformatics to any of the following areas: a) Antimicrobial resistance (AMR) including the design of antimicrobial drug combination therapies, identifying One Health AMR transmission pathways, and utilizing data science methodologies to guide antimicrobial stewardship initiatives; b) Human Genomics including the role of repeats in the human genome; c) cancer including cancer genomics and genomics data science; and d) Natural Language Processing (NLP) and (or) generative AI solutions for health problems.
 

Submission

Submit the following documents as a single pdf file

  1. Certified copies of relevant academic documents.
  2. Two reference letters from academic referees.
  3. Statement of motivation (max 1500 words).
  4. Your idea for the research project (single page).
  5. An updated CV (max 4 pages).

Application deadline: June 20th 2024

NB:

  • This is a full-time PhD fellowship. It is expected that the intending applicant is not involved in any other form of study or employment.
  • Only successful candidates will be notified.
More Details
PhDACE002
2
Kampala
Part-time
3 Years
BIOINFORMATICS SCIENTIST
2024-05-07 07:21:02.000