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are expected to develop independent research programs that attract external funding; teach courses at the graduate and undergraduate level; mentor students and postdocs in their area of research; and participate
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Neuroscience on object representation and object properties using machine learning and multivariate techniques to analyze the data; support in writing scientific outputs. The grantee will also support the entire
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collection Knowledge of association mapping (GWAS/EWAS), statistical modeling, or machine learning in biological contexts Interest in field-lab integration and scaling projects from pilot to multi-site
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research projects within LIA’s CORNET team, focusing on: Network and cloud systems, Virtualized network systems, Cloud and edge computing technologies and machine learning related topics
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for professionals and youth at risk" (CONTEXT), funded by an NWO National Science Agenda 2024 consortium grant . The postdoc position will be embedded in the Developmental Evolutionary Ecological Psychology (DEEP
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explored during your postdoc include: What are efficient machine learning strategies to identify large ensembles of nanoparticles in tomograms (i.e., to identify nanoparticles on irregular 2D surfaces in 3D
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cloning, managing repositories, branching, and implementing collaborative and reproducible data analysis workflows. Experience in applying machine learning or AI approaches to genomics data (e.g. BLUP
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analysis and machine learning for computer vision Excellent communication skills Excellent verbal and written English language skills (German is not required) Our offer Does this sound interesting? This is
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position within a Research Infrastructure? No Offer Description Samuel Kaski’s research group Probabilistic Machine Learning is searching for postdocs to work on AI fundamentals in exciting projects
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., ROS, MoveIt) and hardware integration. Knowledge of machine learning, reinforcement learning, or vision-language models for robotics is a plus. Hands-on experience with robotic arms (e.g., UR5, Franka