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controlled trials (RCTs) in developing countries. Candidates should have strong quantitative skills, including proficiency in statistical software (e.g. Stata, R, or Python). Experience coordinating field
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developability assessment tools such as aggrescan, AbImmPred etc. - Strong knowledge of different machine learning architectures and training techniques is essential. - Proficiency with programming in Python and
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32149BR Ecology & Evolutionary Biology Position Overview The Walters Lab (https://walterslab.ku.edu/ ) is seeking a self-motivated, detail-oriented biologist to join our research program
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the Python programming language is an absolute requirement Experience with global vegetation models, satellite products (L3 or L4), and/or machine learning applied to spatially explicit data would be an asset
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Applications: Microsoft Outlook, Not Applicable Preferred Other Computer Applications: Python, Unix Preferred Additional Knowledge, Skills and Abilities: Extensive knowledge of research methodology and
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to candidates with knowledge of Python programming. Applications must be exclusively submitted on the admissions platform of the Instituto Superior Técnico at https://fenix.tecnico.ulisboa.pt/fenixedu-admissions
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Biomedical Data Science Postdoc Appointment Term: 2 years (can be exended) Appointment Start Date: December 1, 2025 (Flexible) Group or Departmental Website: http://med.stanford.edu/summerhanlab.html (link is
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | about 1 month ago
, R, Python Must be able to work in a team environment and interact with diverse stakeholders Strong communication skills (both written and verbal), including strong listening skills Strong
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familiarity with health-related datasets. Additional Qualifications: Proficiency in statistical software (R, Python, etc.), and working knowledge of data management protocols. Experience with exposome
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at https://sites.google.com/view/xiaoyu-song/home . Key Responsibilities: The Research Fellow will undertake both independent and collaborative research, driving innovative projects at the intersection