-
, Japanese history (esp. early modern), historical geography, GIS, programming (esp. Python) and computer science, statistics and data science, text mining, natural language processing, demography, economics
-
program. T • The ideal applicant will have prior experience in neuroimaging analysis and a strong background in Python, Matlab, &/or R, and/or facility in other scripting languages and the willingness
-
, including coursework and/or research experience in evidence synthesis. 3. Programming experience using large datasets (e.g., R, Python). 4. Outstanding English written and verbal communication skills, with
-
-on experience in blockchain technology (preferably Ethereum) and/or machine learning. Solid foundation in computer network and/or data analysis. Strong programming skills, preferably in Java. Ability to work
-
POSTDOCTORAL POSITION, RAREDON LABORATORY, 2025-2027 T32 Training Fellowship Yale School of Medicine Department of Anesthesiology Vascular Biology & Therapeutics Program in Translational Biomedicine
-
postdoctoral researcher will leverage state-of-the-art protein language models (PLMs) and advanced AI-based structural modeling techniques to design and optimize T and B cell receptors (TCRs and BCRs). The work
-
biology lab that is focused on utilizing genetic approaches to understand and exploit resistance mechanisms to DNA damage. Our research program has a particular interest in studying the interplay between
-
imaging datasets. Strong programming skills with experience in Python. Good written and verbal communication skills in English. A track record of peer-reviewed publications. Great to have: Experience with
-
well as for candidates with an expert programming background who are looking to move into computational biology. Applicants should send a CV including a list of publications, programming languages, a statement of research
-
–Scientist Program at the Massachusetts General Hospital (Harvard Medical School), his medical oncology fellowship at Memorial Sloan Kettering Cancer Center (MSKCC), and post–doctoral training in