168 computer-programmer-"IMPRS-ML"-"IMPRS-ML"-"IMPRS-ML" PhD positions in United States
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of grades, please submit alternative documentation of your enrollment and progress in the degree program, as well as a written statement that you are unable to provide an official transcript of grades
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should have a Ph.D. in experimental particle physics, excellent data analysis, computing and programming skills and the ability to carry out an independent research program. Prior experience with Machine
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should have a Ph.D. in experimental particle physics, excellent data analysis, computing and programming skills and the ability to carry out an independent research program. Prior experience with CMS will
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an independent research program in the exciting field of nuclear astrophysics. Candidates with expertise in any of the aforementioned areas are strongly encouraged to apply. Qualified candidates may be considered
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 2 months ago
on MMS data. Required Knowledge, Skills & Abilities: Computer analysis of digital data from satellite data centers. Physics background analyzing the data. Other Requirements: local residency. Preferred
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psychology, organizational behavior, computational social science, or sociology. PhD after one year of employment. Technical Skills or Knowledge: Conducting field, computer, web-based, and interpersonal
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Professor position in the area of metal Additive Manufacturing (AM). The successful candidate will develop a research program in metal AM with a particular focus on powder-based techniques such as laser
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computational models of the immune response for multi-scale epidemic models. This position offers an excellent opportunity for recent graduates interested in applying quantitative and computational methods
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Job Description Applications are invited for a full-time Research Assistant Professor position in Virginia Tech's Bradley Department of Electrical and Computer Engineering. The successful candidate
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with an interdisciplinary team of researchers from various disciplines, such as agricultural engineering, mechanical engineering, agronomy, computer science, and soil science. The ideal candidates should