1,059 data-"https:"-"https:"-"https:"-"https:"-"University-of-Minho" Postdoctoral positions in United States
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Field
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training or analysis of scaling behavior. Familiarity with challenges such as data heterogeneity, communication efficiency, or system constraints. Exposure to privacy, robustness, or security techniques (e.g
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environments. Experience with parallel computing environments, HPC in a Linux environment. Experience with surrogate modeling. Experience with data analytics techniques. Familiarity with C++ and GPU programming
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will contribute to developing and evaluating state-of-the-art methods for predicting mental health outcomes from multi-modal clinical and digital health data. This position offers the opportunity to work
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research interests and how they align with one or more lab themes 2. Your CV 3. Contact information for three references Duke is an Equal Opportunity Employer committed to providing employment opportunity
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 9 hours ago
Position Information General Information Position Number POST40 Working Title Postdoctoral Researcher Division Academic Affairs Department College of Humanities & Earth and Social Sciences (Col
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of credentials and/or other information required by the institution’s procedures, including the completion of the criminal history check. Equal Opportunity/Veterans/Disability Employer.
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can outperform classical computation—and develop rigorous tools to analyze and leverage this gap. Our work spans three interconnected directions: (i) quantum computing / quantum information / quantum
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positions are security-sensitive. Applicants are subject to a criminal history investigation, and employment is contingent upon the institution’s verification of credentials and/or other information required
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candidates should submit an application package containing 1) CV, 2) contact information for three research references, and 3) a brief summary discussing your research interest or fit with the lab research
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assaying enzymes from full metabolic pathways, developing high-throughput enzymatic assays for pathway validation, and working with data scientists to develop efficient cell-free production pathways