163 computer-programmer-"Multiple"-"Prof"-"U"-"O.P"-"Bocconi-University"-"UCL" PhD positions in United States
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savings program with employer contributions. Unlock your potential with tuition benefits , take well-deserved breaks with ample paid time off and observed holidays , and rest easy with life and accidental
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candidate will have an opportunity to work closely with an interdisciplinary team of researchers from various disciplines, such as agricultural engineering, mechanical engineering, agronomy, computer
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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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microscopy techniques and image analysis (confocal, multiphoton, or other advanced imaging techniques) and/or electrophysiology. Demonstrated computational knowledge, use of ImageJ, and familiarity with a
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Computational Approaches to Materials Science and Engineering; Nanoscale and Functional Materials. These positions require a Ph.D. in Materials Science and Engineering or related fields, and experience in
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ambitious $200M investment to substantially grow our team of world class child health researchers over the next five years. Click here to learn more about our plan to recruit 30 new world-class child health
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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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genetics, and may include expertise in one or more of the following: computational biology, statistical genetics, population genetics, biomedical informatics, complex genetics, clinical genetics
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University of Massachusetts Medical School | Worcester, Massachusetts | United States | about 1 month ago
. 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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involved in analyzing data collected from the TexNet seismological monitoring program and other stations or assets that provide quality data. Comparing different methods and tools for moment tensor inversion