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. graduates and doctoral candidates nearing graduation who have research interests in applied statistics, machine learning, or computational biology to apply for our postdoctoral fellows program. This program
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large sample libraries; performing in-depth analysis of proteins, peptides, and small molecules in beef and pork products that vary in consumer quality; and applying machine learning techniques to predict
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scientific curiosity Mastery of data visualization and scientific communication Extensive knowledge of relevant machine learning and AI techniques Self-motivated individual with ability to work independently
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ODE/PDE models that include these mechanisms. The postdoc will develop biologically-constrained machine learning–based model discovery pipelines to derive interpretable surrogate ODE/PDE models from
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disease through advanced imaging and biophysical approaches. The research group hosting this position studies Contractile Injection Systems (CIS) — natural protein machines used by bacteria to deliver
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3 Dec 2025 Job Information Organisation/Company INSA Strasbourg Research Field Computer science » Computer systems Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Country
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at the top venues of machine learning research. Responsibilities and qualifications You should have prior experience with machine learning from both a theoretical and practical perspective. Experience in one
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with experience in data-intensive research, machine learning, and artificial intelligence are especially encouraged to apply. About the Department: The Department of Physics hosts active research groups
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Postdoc (m/f/d) in the ERC project “Algorithmic Governance – A Public Perspective” (AGAPP). About us The Munich School of Politics and Public Policy (HfP), with its affiliation to the Technical University
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at the intersection of AI, RF, and wireless communication. Your main tasks include developing machine-learning methods for wireless interference detection, mitigation, edge intelligence, and applying AI to optimize RF