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Posting Description POSTDOCTORAL ASSOCIATE, DORKENWALD/FIETE LABS, McGovern Institute, (two openings) to conduct interdisiplinary research on the relationship between neural circuit structure and
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outcome-prediction models in the DBS literature, the PhD will implement a structured, multi-tiered analytical framework that systematically compares classical regression techniques with modern penalized and
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within a Research Infrastructure? No Offer Description This PhD project integrates advanced materials modelling and theoretical nuclear physics to support next-generation nuclear energy systems, with a
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, and executive leadership, the Director designs and maintains advanced forecasting frameworks that integrate and model all university operating revenues (including but not limited to net tuition and fees
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and connectivity of nucleosomes in chromatin that give rise to chromosome structure in cell nuclei and biochemical reconstitutions. This involves developing supervised and self-supervised AI models
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executed, ideally involving 3D image analysis, inverse problems, or physics-informed modeling. Cryo-EM/ET and computational structural biology projects are especially relevant. Discuss results, limitations
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will combine infection models and patient-derived samples with approaches spanning cell and structural biology, supported by advanced imaging techniques, including cryo-electron microscopy (cryo-EM) and
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structures, software tools, and operational protocols to support scenario generation and effective dissemination of results. Where to apply Website http://www.uniroma1.it Requirements Additional Information
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Institut de Recherche pour le Développement (IRD) | Sete, Languedoc Roussillon | France | 9 days ago
/Qualifications Required skills You have developed the following competencies: Advanced expertise in numerical ocean modeling, with proven experience in high-resolution configurations (ideally CROCO and/or NEMO
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to identify and model the most efficient catalytic sites on NDs using advanced Density Functional Theory (DFT) calculations. The project seeks to revolutionize the design of ND-based catalysts by controlling