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Informatics (DBMI) at Harvard Medical School and the Yu Lab are seeking a Postdoctoral Research Fellow with experience in machine learning and scientific programming. The candidate will work with a multi
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date to be determined. Basic Qualifications A PhD related to programming languages by the start date. Experience in machine learning and formal verification. Individuals with a demonstrated track record
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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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where required Ability to rapidly acquire a general knowledge of the overall operation, functions and programs of the schools and departments to which assigned Knowledge of using various computer software
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software. May be tested on appropriate computer skills as required. Keyboarding speed (wpm) may be required as appropriate to job duties. Tessitura knowledge a plus. Demonstrates a passion for and
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diverse, inclusive community dedicated to alleviating suffering and improving health and well-being for all through excellence in teaching and learning, discovery and scholarship, and service and leadership
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, or Python); Creating and managing very large datasets; Managing and mentoring research assistants (RAs); Machine learning skills; Writing papers for management and economics journals; Interest in reskilling
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Details Title Fellow in Human-Machine Interface Clinical Research – Bionics Lab School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Bioengineering Position
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research assistants (RAs); Machine learning skills; Writing papers for management and economics journals; Interest in reskilling initiatives; Working with partner organizations or companies. Basic
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of References Allowed Keywords statistics, biostatistics, computer science, economics, health care policy, causal inference, machine learning