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at CSIC and UCM in Madrid, as well as Aarhus University, in a joint effort between the ERC Synergy project METRIQS and the Villum Young Investigator programme DynamiQ. Responsibilities and qualifications In
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postdocs. You will join a new research program on the role of universities and entrepreneurial ecosystems in building deep tech startups and scaleups. You will work towards building a landmark database on
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. Join us at the Department of Electrical and Computer Engineering, Aarhus University, where we are developing semantic-aware communication that leverage edge AI, semantic reasoning, and efficient time
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interest and documented skills and experience in using computer-based tools to analyse, simulate and predict capture performance of active and passive fishing gears. A track record of publishing in peer
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contributing to developing and implementing novel algorithms at the intersection of computational physics and machine learning for the data-driven discovery of physical models. You will be working primarily with
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We are now advertising a new position at DTU Physics for the second half period of our project UltraBat - Capturing Ultrafast Electron and Ion Dynamics in Batteries - generously funded for 4 years by EU Horizon RIA with partners in Denmark, Germany, and France. You will be part of our team...
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Programme targeted at career development for postdocs at AU. You can read more about it here: https://talent.au.dk/junior-researcher-development-programme/ If nothing else is noted, applications must be
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an attractive and inspiring working environment with dedicated and highly skilled people. There is a formalized teaching program dedicated to methodological aspects of pharmacoepidemiological research. As a
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Job Description We are now advertising a new position at DTU Physics for the second half period of our project UltraBat - Capturing Ultrafast Electron and Ion Dynamics in Batteries - generously funded for 4 years by EU Horizon RIA with partners in Denmark, Germany, and France. You will be part...
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You have academic qualifications at PhD level, for example within the areas of bioinformatics, machine learning or forensic odontology. We favour experience in computational data analysis, and the