1,096 data-"https:"-"https:"-"https:"-"https:"-"Tilburg-University" Postdoctoral positions in United States
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Field
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Benefits Eligible Postdoctoral Fellows may be eligible to receive certain UNM benefits . See the Benefits home page for more information. Position Summary Position Summary The UNM Department of Dermatology
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length scales Develop machine learning algorithms to support process optimization, predictive modeling, and intelligent manufacturing control Integrate simulation tools with in-situ sensor data from
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the ability and motivation to develop expertise in large-scale model training and scaling on HPC systems, as well as in handling the unique characteristics of scientific data, including large-scale numerical
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, computer science, or a closely related field by the appointment start date; demonstrate strong expertise in computational biology or data-driven modeling, with experience in one or more of the following areas
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cryogenic environments Participate in synchrotron-based characterization and data analysis Contribute to high-impact publications, internal reports, and scientific presentations at conferences and workshops
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: Pathology Biomedical Data Science Postdoc Appointment Term: 1 year (renewable) Appointment Start Date: As soon as feasible; February 2026 How to Submit Application Materials: Please email the required
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. Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants . This is a term position
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Requisition Details GENERAL REQUISITION INFORMATION EEO Statement: UNMC is an Equal Employment Opportunity Employer, including an equal opportunity employer of protected veterans and individuals
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data processing and analysis techniques is a plus Strong written and oral communication skills Ability to model Argonne’s core values of impact, safety, respect, integrity, and teamwork Candidates with a
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for materials synthesis planning and automated solar data degradation pathway analysis based on literature data. You will support two DOE projects at 50% each. The first project is the DOE BES Data-Driven