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Classification Title: Post-Doctoral Associate in unsupervised and generative ML for chemistry Classification Minimum Requirements: PhD in Chemistry or related area Strong coding (Python) and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 hours ago
Requirements Ph.D. in computational biology, bioinformatics, biostatistics, computer science, genomics, systems biology, biomedical engineering, quantitative biology, or a related field. Required Qualifications
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institutions. Skills we are seeking are: Citizenship: U.S. Citizen/Permanent Resident is greatly preferred. Minimum Qualifications: Ph.D. in Modeling & Simulation, Computer Science, Engineering, or closely
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FLAIR activities (attend regular meetings) and work closely with all members of both teams (PIs, PhDs, and postdocs) (Help with) supervising MSc and BSc theses related to the project Synthesize and
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development About You You will hold a Ph.D/D.Phil in a quantitative or theoretical discipline (e.g. machine learning, computer science, mathematics, statistics, physics, theoretical neuroscience or a closely
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such, we see the importance of recruiting talent aligned to these values and are looking for a Researcher in Astrophotonics and Astronomical Instrumentation who has: a PhD or equivalent experience in
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-vesicle biology, or a combination of these areas. Qualifications Applicants should have: • A PhD, MD/PhD, MD, or equivalent doctoral degree in cancer biology, molecular biology, cell biology, immunology
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, with the possibility of renewal subject to funding availability and satisfactory performance. Applicants should possess a PhD or Master's degree in Nursing, Social Sciences (including Psychology, Social
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to apply Website https://www.academictransfer.com/en/jobs/363595/postdoc-in-electrocarboxylation… Requirements Specific Requirements Motivated researcher, with a PhD in electrochemistry or electrocatalysis
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assigned Requirements A Ph.D. degree in Neuroimaging, Biomedical Engineering, Electrical Engineering, Physics, Computer Science, or other related disciplines, with experience or keen interest in processing