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Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering
spatial multi-omics data; AI-based modeling of protein structure and protein interaction networks; AI-based modeling of cell morphology and tissue function using imaging and computer vision; AI models
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Laboratory of Oceanography of Villefranche | Villefranche sur Mer, Provence Alpes Cote d Azur | France | 15 days ago
8 Sep 2026 Job Information Organisation/Company Laboratory of Oceanography of Villefranche Research Field Environmental science » Other Researcher Profile First Stage Researcher (R1) Positions
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and biology education. We investigate the behaviour of cells – the fundamental units of life – in terms of molecular processes within and between cells. Our researchers integrate both hypothesis-driven
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and institutional scope of practice. Assist with phlebotomy and sample collection, processing, handling, and shipping as outlined in the protocol and within institutional/KUMC policy. Ensure adequate
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, which investigates how seasonal adaptation reshapes sensory processing and behaviour in the invasive fruit fly Drosophila suzukii. The project combines functional calcium imaging, behavioural experiments
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Requirements: PhD in Civil/Structural Engineering, Geophysics, Seismology, Engineering Mechanics, Electrical/Computer Engineering, Applied Physics, Optical Engineering, Computer/Data Science, or a related field
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, theoretical, and computational materials science. One position will focus on soft materials such as polymers, biomolecular materials, composite/multifunctional materials, and bio/soft electronics. The second
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of biomedical informatics that impact one or more clinical focus areas. For methods of AI, we are interested in candidates who bring expertise in building methods that learn across one or more of imaging
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are essential, along with the ability to build and extend statistical pipelines. An interest in Bayesian inference applied to biology is also important. A background in computational proteomics or LC-MS/MS
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the Leiden Institute of Advanced Computer Science (LIACS). As a team, we develop cutting-edge techniques for advanced computational imaging systems, combining expertise from Mathematics (Inverse Problems