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at the interface of computational systems biology and mathematics/statistics with a strong attitude to open research software development. For more information visit http://www.fz-juelich.de/ibg/ibg-1/modsim
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networks and propose a new bio-inspired artificial neuron model, improving the building blocks of deep learning systems. The tasks to be performed with the contract are the following: • Design new components
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Associate (RA) to join an innovative and dynamic research team where the incumbent will push the boundaries of bio-inspired artificial intelligence and advanced sensor technologies for embodied AI research
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Researcher (R1) Application Deadline 13 May 2026 - 21:59 (UTC) Country Belgium Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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Recognised Researcher (R2) Country Sweden Application Deadline 6 Feb 2026 - 22:59 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded
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computing or AI-assisted computational methods. This research into theoretical chemistry could, for example, focus on one of the following fields: the study of large-scale (bio)molecular systems, the design
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38.0 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Due
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education, research, and innovation, which has been inspiring generations of thinkers for over 400 years. The School of Physics at Trinity College Dublin invites applications for a position at the level of
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outstanding undergraduate bio/chemical education through a student-centered, liberal arts approach. We offer B.Sc. degrees in Chemistry (ACS certified program) and Biochemistry (ACS and ASBMB certified program
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, ranging from artificial intelligence, computer science, mathematics, astronomy, physics, chemistry, and bio-pharmaceutical sciences to biology and environmental sciences. The faculty has grown strongly in