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Field
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photosynthetic membranes. Specifically, pump-probe ultrafast nanoscopy of transport in model OPVs and light-harvesting complexes. Specifically, advance structured excitation methods for low light level exciton
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on reinforcement learning to optimize cooling and trapping parameters using real-time feedback for the Rydberg atom experimental platform. Enhance holographic methods for optical tweezers with generative models and
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. Writing scientific articles. Presenting results at scientific conferences. Where to apply Website https://sede.uam.es/sede/piproyectos Requirements Research FieldBiological sciencesEducation LevelPhD
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measurements Calibration of materials as sensors to measure temperature, oxygen, and pH values in cells Development of models based on artificial intelligence algorithms to interpret luminescence signals Study
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the PhD Students: - Decide the experimental design for the validation of the developed models to authenticate pistachios, and collaborate in recruiting new samples - Perform the analytical
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) acquire a pathological fibrotic and immunosuppressive state that promotes tumor progression. Using a set of preclinical models, the project aims to identify novel therapeutic targets and biomarkers based
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a post-doctoral researcher to join WP2 on the AI4MAP project, primarily focusing on developing adaptive sampling and spatial modelling strategies. The work will concentrate on designing and
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energy consumption by up to 40%. Additionally, pasteurization technology by electromagnetic induction and packaging models made with bioplastics will be evaluated. Head of the Program: Dr. Sara Bover-Cid
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training in in vivo experimental models and computational analyses and will work within a multidisciplinary team of basic scientists and clinicians. Candidates with a PhD in biological sciences or related
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at CRAG (from basic science to applied research using plant experimental model systems, crops and farm animals) make extensive use of genomic technologies and large sets of genetic and genomic data (https