305 coding-"Prof"-"Foundation-for-Research-and-Technology-Hellas" "Prof" PhD positions
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Group, led by Prof. Georg Krainer at the Institute of Molecular Biosciences (IMB), University of Graz, Austria, is seeking a highly motivated and talented PhD candidate to join the ERC-funded project
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interviews will be held in December 2025. Do you have any questions, or do you require additional information? Please contact: Prof. Judith Good, J.a.good@uva.nl Where to apply Website https
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- QKD, under the scope of a term contract, with a termination date undetermined, overseen by Portuguese Labour Code. Job description: Development of scientific research activities within the research
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contact Prof. Dr. Sabine Rumpf (sabine.rumpf@unibas.ch ) and visit https://eco.duw.unibas.ch/en/ for more information about the research group Ecology Where to apply Website https://academicpositions.com
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and two references (names and e-mail addresses). Submitting a diploma and a reference check are part of the application process. For more information on the project and position, contact prof. dr. Jacco
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). Supervisors Primary supervisor: Prof. G.Tasca. Co-supervisors: Prof. J.Diaz-Manera, Dr. S.Cockell. Eligibility Criteria You must have, or expect to achieve, at least a 2:1 Honours degree or international
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Research Framework Programme? Other EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Molecular Biophysics Group, led by Prof. Georg Krainer
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Molecular Biophysics Group , led by Prof. Georg
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://quantum-sensing.physik.unibas.ch or reach out directly to the group leader Prof. Patrick Maletinsky (patrick.maletinsky@unibas.ch ) or the project team (Patrick Knüppel, patrick.knueppel@unibas.ch
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computing to develop a continuous and local alternative to existing gradient-based learning rules, bridging theories of predictive coding with event-based control/ Simulate models of the learning algorithm