135 computer-programmer-"Multiple"-"Humboldt-Stiftung-Foundation"-"U"-"U.S" "Prof" PhD positions in United States
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an excellent compensation package, and a broad range of employee benefit plans, including immediate participation in the University’s retirement plan. Staff members are typically eligible for four weeks paid
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help manage and contribute to our program in ex vivo human cell biology and in vivo rodent models, focused on deciphering the cellular and molecular basis for neurodegenerative diseases, including
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/Computer/Mechanical/Materials/Nuclear Engineering or related discipline. • Excellent foundation in materials processing • Hands-on experience with device and system characterization. • Experience in
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, Pennsylvania 19004, United States of America [map ] Subject Areas: Industrial Engineering Physics Economics Statistics Mathematics (more...) Management Science & Engineering Computer Science and Electrical
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, metastasis, functional genomics, therapeutic target development, and cancer proteomics. Submit a full-length CV, a 3-page future research plan, and the names and contact for 3-5 references Required
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/research conferences · Participates in the Sylvester Comprehensive Cancer Center Junior Development Program Qualifications Faculty members in the Department of Public Health Sciences will need to meet the
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. Preferred qualifications: D. in Quantitative Genetics/Genomics, Computational Biology, or Related Discipline. Skilled in single-cell transcriptomic analyses, machine learning and artificial intelligence
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Caltech is a world-renowned science and engineering institute that marshals some of the world's brightest minds and most innovative tools to address fundamental scientific questions. We thrive on finding and cultivating talented people who are passionate about what they do. Join us and be a part...
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the University's good faith and reasonable estimate for a full-time position; salaries for part-time positions are pro-rated accordingly. The University also offers a comprehensive benefit program to eligible
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to produce resilient and high-performing models. · PhD in Computer Science, Machine Learning, Mathematics, Physics, Statistics, or a related field Strong track record of applying ML in academic or industry