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modalities. The candidate will have the opportunity to work on âœbig dataâ studies in health and diseases, including Alzheimerâ™s disease and others such as schizophrenia, psychosis, autism, etc. We
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 8 days ago
17 Sep 2025 Job Information Organisation/Company Inria, the French national research institute for the digital sciences Research Field Computer science Mathematics Researcher Profile Recognised
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28 Aug 2025 Job Information Organisation/Company University of Massachusetts Medical School Department Human Resources Research Field Biological sciences Medical sciences Computer science
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Geosciences Computer science Information science Technology Engineering Researcher Profile Recognised Researcher (R2) Country Japan Application Deadline 30 Sep 2025 - 23:59 (UTC) Type of Contract Permanent Job
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you will need: 1. A completed PhD or a submitted PhD thesis in either computer science, mathematics, computer/software engineering, electrical or electronic engineering, mechanical/mechatronic
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proposals. -Other duties as required. Required Education: -Ph.D. in Soil and Crop Sciences, Statistics, Data Science, Computer Science, Agricultural Engineering, or a closely related field. Required Knowledge
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in Computer Science or Digital Humanities. What we offer The position will be filled for 2 years, starting January 2026. The salary for the position will be based on level 5 of the job requirement
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earlier. The ideal postdoctoral candidate holds a Ph.D. in a relevant field such as molecular biology, bioinformatics, computational biology, or computer science, and has a strong publication record that
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IFAS. This individual will have expertise in computer science, industrial and systems engineering, or related fields to contribute to cutting-edge research at the intersection of food systems, packaging
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Ph.D. or equivalent degree in mathematics, physics, computer science, bioinformatics, or a related field Experience in developing deep learning models Ideally, prior experience in analyzing biological