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interest in 3D modeling, generative methods/scripting, parametric design, AI methods, visualization, digital fabrication Didactic talent and enjoying interdisciplinary working and learning methods
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professionals, and trainees across institutions to design, coordinate, and implement federally funded population health and outcomes research using real-world data (RWD), including electronic health records (EHRs
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Looking backwards to go forwards: Systems Engineering Approaches for Inverse Design of Manufacturing Systems Supervised by Rundong Yan, Alistair Speidel, and Rasa Remenyte-Prescott This exciting
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machine intelligence into working AI solutions? We have launched a pioneering research and innovation hub in AI—one that will shape the way humans and machines collaborate for decades to come. Led by Prof
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reproductive sciences and are expected to show clear evidence of innovation and excellence in their fields. Investigators with a research program involving the use of lab space will have their primary
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learning. Prior experiences with numerical optimisation, machine learning, and chemical process design are highly beneficial. The ideal candidate pursues new insights, actively engages in scientific
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The Innovation Management section of the Technology and Operations department at the Rotterdam School of Management, Erasmus University, has re-opened this position. Successful innovation management involves all
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related discipline. A solid background in de novo protein design, protein structure prediction (Rosetta, AlphaFold, …), protein expression, structure elucidation, machine learning, C/C++ and/or Python with
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environment. Key research Objectives: AI Innovation (Taxonomic Identification): Developing and optimizing deep-learning architectures (e.g., YOLO) for the automated detection and classification of nocturnal
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, machine learning techniques, etc.) is desirable. This thesis offer within the AstroParticle and Cosmology Laboratory (APC) is part of the Deep Underground Neutrino Experiment (DUNE). DUNE is an