Public Health

Data Extraction Tasks

Skills / interests: Advocacy, Writing (drafting and editing), Data extraction

Methodological skills / interests: Artificial intelligence

My team is conducting a systematic review focused on food insecurity and we're currently seeking individuals with significant experience in machine learning to contribute to the final stages of the project.

 

We are looking for assistance with the following:

 

Data Extraction (N = 28 Studies)

Refine the Publication Tables (N = 5 Figures) 

Manuscript Preparation (Results and Discussion)

 

We are looking for people who have:

 

Extensive experience in machine learning, with a strong understanding of relevant algorithms and techniques (e.g., NLP, text classification, clustering, regression).

 

Proven ability to apply machine learning to real-world data, ideally including experience with text-based data.

 

Strong analytical and critical thinking skills to interpret data and contribute meaningfully to the discussion.

 

Excellent writing and communication skills to contribute to the manuscript.

 

A commitment to timely completion of tasks.

 

Timeline: 

 

May 5th > May 25th

 

Compensation:

 

Although all other steps/areas of this project have been completed, in recognition of your contribution, you will still be acknowledged with full authorship on the resulting publication.

 

Communication:

 

Please feel free to include your email address and/or WhatsApp contact information in your application for me to reach you quickly.

Think you've got what it takes to get the job done for Yihan?

Log in
to respond

Questions & comments