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this Wellcome Trust-funded project, we will characterise the regulatory pathways of a panel of different G protein-coupled receptors (GPCRs) to explore how arrestins contribute to subcellular GPCR signalling
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-award courses of Higher Education Institutions. Preference factors: Machine Learning Knowledge. Knowledge of signal processing and machine learning libraries (e.g., PyCaret, scikit-learn). Minimum
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, omics, physiological signals, clinical notes), and causal AI (causal inference, discovery, counterfactual reasoning). The successful candidate will collaborate with an interdisciplinary team of computer
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use in process heat and/or refrigeration production systems in industries; analysis of the energy and economic performance of process heat and/or refrigeration production systems in industrial
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Laboratoire de Physique des Interfaces et des Couches Minces (LPICM), UMR CNRS/École Polytechnique, | Palaiseau, le de France | France | about 1 month ago
multidisciplinary team involving image processing labs (e.g., CMAP) and French hospitals (e.g., CHU Kremlin-Bicêtre, Hôpital Foch, Institut Mutualiste Montsouris, Institut Gustave Roussy). Phase 1: Design and develop
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London. The post will start no later than February 9, 2026, and applicants must have submitted their PhD by that point. For an informal discussion about the post, please contact Professor Kathy Rastle
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for Computational Biology (CCB) of the Simons Foundation's Flatiron Institute is actively seeking enthusiastic, full-time post-doctoral Flatiron Research Fellows to work on information processing in biological
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regular meetings with the research group. Ph.D. in Electrical Engineering, Computer Engineering, Computer Science, or a related field. Proven experience working with LiDAR sensors, point cloud data
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Engineering, Computer Science, or a related field. Proven experience working with LiDAR sensors, point cloud data processing, and sensor integration. Strong background in signal processing, computer vision, or
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sciences in the field of chemistry Experience in synthesis and spectroscopic characterization of organic compounds Computer skills Active knowledge of English, both spoken and written Specific Requirements