163 programming-"the"-"DAAD"-"IMPRS-ML"-"FEMTO-ST"-"Prof" PhD positions in United States
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, stakeholder-engaged research, grant writing and management, and other critical skills as identified in their individual development plan. The fellow will receive the mentoring and time needed to advance
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of Research (2 pages): What research do you plan to pursue during the fellowship term? What do you plan to do at each stage, and what particular resources do you intend to use? What are the advantages
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) at Rice University is seeking a full-time Researcher with expertise in quantitative and qualitative research who can design, plan, implement, and conduct complex and specialized research projects
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identity, gender expression, pregnancy, pregnancy-related conditions, genetic information, or protected veteran’s status. The University does not discriminate on the basis of sex in the education program or
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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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for academic dissemination. Be proficient with database management/manipulation, multivariate statistics, and analytic programs including SPSS, Excel, etc. SQL and/or R knowledge preferred. Travel to site visits
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in compensation decisions. Benefits Summary Benefits include medical, dental, and vision insurance; short*- and long-term disability insurance; pension benefits*; 403(b) Employee Savings Plan with
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Act of 1990, the University of Tennessee affirmatively states that it does not discriminate on the basis of race, sex, or disability in its education programs and activities, and this policy extends
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September 2025. The Research Assistant Professor will be expected to conduct, and obtain full funding for a program of research focused on executive functioning and developmental neuroscience in clinical
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programming skills in Python and/or C++ Practical knowledge of ML libraries and frameworks, such as PyTorch or TensorFlow, especially in production environments Hands-on experience applying deep learning