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data, spatial modelling, multivariate statistics and/or machine learning, and relevant coding languages (e.g. R, Python), including a sound understanding of FAIR data principles, data management and
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orientation, marital status, pregnancy, predisposing genetic characteristic, or military status. Employees, students, applicants, or other members of the MCW community (including but not limited to vendors
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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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of the promotoras model of leadership. • Fluent communication in both English and Spanish. Equipment Use of personal computer and proficiency in software and research statistical applications. Working Conditions
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antigens, T cell receptor (TCR) and antigen interactions and their crucial role in anti-cancer immune responses. You'll leverage your strong background in computational biology, machine learning, and
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looking for your next challenge? Do you have a background in machine learning or fluid dynamics and an interest in applying your skills to understand the dynamics of Earth’s fluid core and space-weather
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Sep 2025 - 23:59 (UTC) Type of Contract Temporary Job Status Full-time Hours Per Week 36 Offer Starting Date 13 Oct 2025 Is the job funded through the EU Research Framework Programme? Not funded by a EU
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Sep 2025 - 23:59 (UTC) Type of Contract Temporary Job Status Full-time Hours Per Week 36 Offer Starting Date 13 Oct 2025 Is the job funded through the EU Research Framework Programme? Not funded by a EU
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Sep 2025 - 23:59 (UTC) Type of Contract Temporary Job Status Full-time Hours Per Week 36 Offer Starting Date 21 Oct 2025 Is the job funded through the EU Research Framework Programme? Not funded by a EU
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Sep 2025 - 23:59 (UTC) Type of Contract Temporary Job Status Full-time Hours Per Week 36 Offer Starting Date 13 Oct 2025 Is the job funded through the EU Research Framework Programme? Not funded by a EU