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understanding of the mechanisms of astrocyte dysfunction and its impact on neuronal networks, building on the complementary expertise of a team with a strong publication record in reputable journals and proven
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background to next generation power electronic conversion and related measurement in pursuit of Carbon Net Zero? We are seeking motivated interdisciplinary researchers to join the Electrical Energy Management
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Job related to staff position within a Research Infrastructure? No Offer Description This project is embedded within the Horizon Europe EDICT Doctoral Network. Well-conducted clinical trials can provide
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receive interdisciplinary training at the interface of molecular biology and biophysics with a particular emphasis on imaging and computational analysis methods. You will be part of an international network
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deep learning, on the topic “Analysis and Reconstruction of Digital Data Fragments”. This internship is intended for students at M2 level, or in the final year of an engineering school, interested in a
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rapidly through fault networks and promote earthquake triggering at significant distances from the injection zone. Both seismic and aseismic slip processes are also responsible for changes in permeability
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computational chemistry, reaction network analysis, and machine learning for organometallic catalytic reactions. 2. Design of membrane-permeable macrocyclic peptide drugs via machine learning structure
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Institute for Health and Care Research (NIHR), as part of the NIHR Applied Research Collaboration (ARC) North East and North Cumbria. The researcher will support the ARC in joining national research networks
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spaces. Experience using mixed method approaches (i.e. discourse analysis, network analysis, stakeholder interviews, case studies, Delphi, STS, workshops) Effective, highly motivated team player with
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(negotiable) Group or Departmental Website: https://urbanresilience.stanford.edu/ (link is external) How to Submit Application Materials: Interested candidates should apply at https://forms.gle