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University of Massachusetts Medical School | Worcester, Massachusetts | United States | about 1 month ago
General Summary of the Position Postdoctoral positions in Deep-Learning Omics are available in the Zhou Lab (https://profiles.umassmed.edu/display/20062865 ). The Zhou Lab at UMass Chan Medical
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programming skills in Python, C++ and/or Matlab are required. Good understanding of optics simulation, lithography and cleanroom processes (coating, etching, interference lithography) beneficial. We offer a
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Religious Devotion project (CREDO; see https://www.levyna.cz/en/about-us/research/credo-project ) is a five-year project (2024-2028) funded by the Czech Science Foundation and is based at Masaryk University
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related field Great interest in energy technology, energy economics and policy issues Experience in programming with Python or a comparable programming language Experience in energy system modelling is an
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, programming (Python) and advanced data analysis methods Excellent oral and written communication skills in English Ability to communicate results clearly in presentations and in writing Self-motivated and well
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robustness, fairness, and accessibility. You will design and run reproducible experiments, measure relevant resource metrics, implement prototypes in Python, and communicate results through publications and
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and peers across Europe, gain exposure to diverse academic and professional environments, and engage actively in dissemination, workshops, and scientific communication. Where to apply Website https
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Supervisor: Dr. Kamila Maria Jozwik, Jozwik lab PhD fees status: Home fees only (https://www.postgraduate.study.cam.ac.uk/finance/fees/what-my-fee-status ), 4 years Start date: October 2026 The
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in cancers of unknown primary (CUP). Your Role You will join Subproject 3 (Model Alignment and Optimization), led by PD Dr. Keno Bressem (https://scholar.google.com/citations?user=wIEgwbkAAAAJ&hl=en
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methodological skills using, for example R or Python. - Strong collaborative skills and ability to take initiative. For further information about specific doctoral education, see, Study plans for doctoral studies