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collaboration with Volvo Construction Equipment, Epiroc, Boliden, Retenua, and Örebro University. The project sets out to develop multimodal, failure-resilient and trustworthy AI methods for autonomous navigation
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Development of LW Models and Topology Optimization for Advanced Materials and
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focuses on the development and application of computational tools for large genomic datasets to address important questions in biology ranging from the genetic determinants of human disease, the origin and
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modifications affect topoisomerase activity during C. elegans nervous system development. This multidisciplinary project provides advanced training in molecular genetics, genomics, and translational biotechnology
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the BrainHealthX Hub (https://www.abg.psychol.cam.ac.uk/brainhealth-hub ) that fosters cross-disciplinary collaborations across sectors and disciplines (academia, healthcare, industry), aiming to develop analytics
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Your Job: Determination of the lipid composition in human endothelial cells with and without oxidative stress Development of model membranes to mimic the endothelial membrane composition Analyzing
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Number: 15994 School: Harvard John A. Paulson School of Engineering and Applied Sciences Position Description: The Teamcore Group (https://teamcore.seas.harvard.edu) at the John A. Paulson School of
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Applied to Neuroscience and Drug Discovery Where to apply Website https://gestiononline.bioef.eus/ConvocatoriasPropiasBiobizkaia/es/Convocatorias… Requirements Research FieldOtherEducation LevelPhD
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infrastructure, development of methods for storage and transport of alternative fuels and development of critical data on effects of radiation on structural materials. Our laboratory also maintains the nation’s
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artificial intelligence to atrial fibrillation and associated comorbidities, collaborating with Cardiology researchers to support the development and evaluation of artificial intelligence algorithms