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Medicine and Bioinformatics. The specific objectives of the project are to (i) deploy network analysis methods to genomic data (50%), and (ii) develop such algorithms including community detection algorithms
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. Distinguished Faculty Mentors: Carnegie Bosch Fellows will benefit from the unique opportunity to be mentored by pioneering leaders in their respective fields. Prof. Tom Mitchell (Founders University Professor in
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objectives of the project are to (i) deploy network analysis methods to genomic data (50%), and (ii) develop such algorithms including community detection algorithms (50%). PhD in computer science, engineering
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chemistry, spectroscopy, and materials science. Department Contact for Questions Questions regarding the position or application process can be directed to: Prof. Ricardo Vazquez, Department of Chemistry
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available in the Geometric Machine Learning Group at Harvard University, led by Prof. Melanie Weber. This role offers an opportunity to perform research on Riemannian Optimization. The ideal candidate has a
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well as an allocation for research and travel expenses. We are looking for junior scientists who are especially interested in working in power and AI systems areas. The postdoc is intended to work closely with Prof
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apply cutting-edge machine learning algorithms, with focus on foundation models and LLMs/agents, to analyze complex biological data. This data includes gsingle cell genomics profiles, spatial data, and
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. In this exciting role and project, you will work under the direction of Prof. Chen-Ting Liao and in collaboration with other researchers for future applications. For additional information about the
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of innovative interventions for mental health problems in (post)colonial Indigenous settings in the USA. Responsibilities Under the supervision of Prof. Joseph Gone, Faculty Director of the Harvard University
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Job Posting Title: Postdoctoral Fellow, AI Driven Precision Oncology ---- Hiring Department: Department of Medicine ---- Position Open To: All Applicants ---- Weekly Scheduled Hours: 40 ---- FLSA