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project The main objective of this PhD project is to explore and analyze bio-inspired neural architectures for early detection from spatio-temporal data under realistic sensing and computational constraints
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team (https://research.pasteur.fr/en/team/machine-learning-for-integrative - genomics/) at Institut Pasteur, led by Laura Cantini, works at the interface of machine learning and biology (tools developed
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for a Doctoral Researcher (PhD student) to work on visual studies, design and user experience related to screen interfaces. This research is part of a project funded by the Academy of Finland called
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/le doctorant(e) s'investira dans le développement de détecteurs MKIDs. Une forte interaction avec les équipes impliquées dans le projet AMINO est aussi nécessaire afin de bien définir les algorithmes
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Sciences (https://cahnrs.wsu.edu/research/). The person in this position will contribute to teaching in the Department of Plant Pathology, including co-teaching PL_P 429 (General Plant Pathology) and PL_P
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whose research engages with physical interfaces, new materials for interaction, exploratory device construction, and the wider space of computational making. Areas of interest include experimental
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Department PSD Chemistry: Moellering Group About the Department The Moellering Research group research is at the interface of Chemistry and Biology, with an eye towards understanding and intervening
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Postdoctoral researcher (M/F). Modeling damage during earthquakes. Comparison with geophysical data.
), an internationally renowned laboratory that combines fieldwork, experimentation, and modeling to advance understanding of geological processes, continental surface dynamics, fracture-fluid interactions, and natural
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admissions per year. The Department has 4 graduate degree programs including the Doctorate of Physical Therapy, Master of Occupational Therapy, Master of Prosthetics and Orthotics and a PhD in Rehabilitation
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Network. https://www.eu4greenfielddata.eu/ ***Double Degree PhD Scholarship in Computer Science Opportunity: "Optimization-simulation coupling for the GHG emission estimation based supervision and