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, Python, Bash). Good level on machine learning. Good level of written and oral English. Ease in a multidisciplinary environment, taste for teamwork, interpersonal skills. Scientific curiosity
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, or a related field. Solid research background and practical experience in one or more of the following areas: Reinforcement Learning / Deep Reinforcement Learning Fine-tuning and Application of Large
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computer vision tools (e.g., MediaPipe, OpenPose, homography estimation, optical flow). Experience with eye-tracking data collection or analysis. Familiarity with deep learning frameworks (PyTorch
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project “Actively learning experimental de-signs in terrestrial climate science (ACTIVATE)”: https://www.mn.uio.no/geo/english/research/projects/activate/index.html The PhD fellow will be part of a growing
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and other postdoctoral researchers as part of our Lundbeck Professorship grant, which you can learn more about here: https://www.cnap.hst.aau.dk/lundbeck-professorship As a postdoctoral researcher your
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and polymers. The Wentz Lab is a collaborative, multidisciplinary laboratory environment, and the successful applicant will play a vital role within our emerging research team. The hired postdoc fellow
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
-scale neuroimaging datasets. Responsibilities for this position includes: * Developing deep-learning approaches for insight and analysis about mouse behavior from video * Machine Learning: use your
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POSTDOC JOBS: HUMAN COGNITIVE NEUROSCIENCE Requisition # 4543 Position Basics Advertising Ends on:Extended Until Position is Filled Advertising Started on:Tuesday, February 10th, 2026
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). Experience with known packages for machine learning, such as scikit-learn or others. Experience with deep learning techniques and software packages such as PyTorch or similar. A published example of a
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About us VIB.AI, the VIB Center for AI & Computational Biology, is a research center dedicated to integrating machine learning with deep biological insight to understand complex biological systems