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/Statistics, Medical/Health Informatics. Strong computational and programming skills with abilities to develop cutting-edge large-scale machine/deep learning algorithms using high-performance computing (HPC
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. Proficiency in the use of statistical programming languages and analysis of large datasets and strong publication records would be essential. Previous experience in atmospheric dynamics and predictability is
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Stanford University / SLAC National Accelerator Laboratory | Menlo Park, California | United States | 1 day ago
experimental programs: 1) next-generation searches for neutrinoless double beta decay (0𝜈ββ) in 136Xe using liquid xenon (LXe) time projection chambers (TPCs), and 2) precision measurements of radioactive
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Application Deadline 22 Sep 2025 - 00:00 (UTC) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to
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and revision Educational Requirements: Work requires a PhD (bio)statistics, econometrics, data science, or related field. Experience/Skills Required: A background in commonly used programming
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traps, statistical analysis of animal behavior, and GIS/geospatial analysis. The task of the new team member will be to capture and radio collar foxes and coyotes in and around the Twin Cities Metro Area
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Essential Qualifications Applicants require a PhD in a Biochemistry-related field Preferred Qualifications: Experience with animal behavioral studies, advanced statistics, and experimenta design
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information including Clery crime statistics for the previous three calendar years and policies, procedures, and programs the University uses to keep students and employees safe, including how to report crimes
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undergraduate students actively involved in the laboratory . Qualifications Basic qualifications The applicant applying for the Postdoctoral Scholar must have a PhD degree in Electrical, Mechanical or Computer
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PhD qualified in mathematical, physical or computational sciences Experience in using machine learning methods to analyse datasets Experience in statistical or scientific programming (ideally R and/or