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, and decision support. Qualifications Required: PhD in Computer Science or a related field, with a focus in databases, data systems, theory, or algorithms. Strong publication record in top-tier venues
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, 120-128. Basic Qualifications A PhD (or equivalent), or near completion, in a relevant field such as chemistry, physics, materials science, or engineering (chemical, electrical, or mechanical
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Qualifications PhD degree in any relevant field of Biology Molecular biology or bioinformatics skills Preferred Qualifications Ph.D. or M.D./Ph.D. in molecular biology or computational biology Demonstrated ability
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on their research and innovation campus. Required Qualifications - PhD and/or MD in Computational Biology, Bioinformatics, Genomics, Biology, Data Science, Computer science or other related fields. PhD must be
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. Minimum Requirements: PhD or equivalent doctorate (e.g., ScD, MD, DVM) in psychology, psychiatry, neuroscience, biostatistics, bioinformatics, computer science, or a related field. Research background in
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
damage in realistic geometries; investigate surrogate models; make original research contributions to the PSFC program; and produce work for publication, present work at scientific conferences, and mentor
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| Mechanical and Aerospace Engineering Performs basic or applied research in the area of computational fluid dynamics, including problem setup, simulation and advanced post-processing for multiple projects
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at the time the application is submitted) PhD (or equivalent foreign degree) in mathematics or closely related field (applied mathematics, operations research, theoretical computer science, etc.). It is
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molecular mechanisms of seasonal physiology - Hidalgo Laboratory. The selected applicant will work in a newly established laboratory supporting research activities on the role of the circadian clock in
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and conduct cutting-edge research on disease dynamics and epidemiological modeling. The candidate will develop and apply mathematical and computational models to understand the transmission, evolution