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mathematics. The applicant should be skilled at implementing new models and algorithms in a suitable software environment, with documented experience. Experience in applying or developing machine learning
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in a suitable software environment, with documented experience. Experience in applying or developing machine learning models for atomistic systems (in chemistry or physics) is advantageous
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governments. As the majority of the symmetric primitives, they are designed to naturally operate over bits, in order to maximize their performances in Software and Hardware implementations. At the current state
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algorithms for application parallelization, simulators and virtual platforms for application- and architecture exploration, hardware/software co-design and operating/runtime systems. Typical application
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the supervision of Prof. Jeroen Famaey and Prof. Kevin Mets as a member of the IDLab research group at imec and the University of Antwerp. You will closely collaborate with other researchers at IDLab and actively
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Main contractor for the project: Dr hab. Przemysław Grudnik, Prof. UJ Project title: Inducing molecular proximity to modulate cellular polyamine metabolism First Team FENG, Grant agreement no. FENG.02.02
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headed by prof. Bram Nauta. The group's motto is “fundamental solutions for practical problems” and under this vision, it has contributed many fundamental new ideas in IC design. The ICD group has made
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30.06.2025, Wissenschaftliches Personal The Chair of Software Engineering for Business Information Systems (sebis) at the Technical University of Munich is looking for outstanding candidates
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the supervision of Prof. Muhammad Ali Imran and Prof Jonathan Cooper, who will act as Line Managers. The project particularly emphasizes ambient and remote sensing techniques, connectivity for healthcare, and
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post; public engagement or outreach • Preferably demonstrable experience in academic writing for publication, e.g. peer reviewed paper(s) and/or report(s) • Advanced statistical software skills