162 computer-security "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" "St" positions at Forschungszentrum Jülich
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, interpretation, and scientific classification of the results Your Profile: Currently pursuing a degree in a relevant field such as energy engineering, mechanical engineering, computer science, industrial
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the consortium Your Profile: Excellent Master and subsequent PhD in computer science, engineering, biophysics, applied mathematics, computational biology or a related field Proven programming expertise in Python
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conferences Your Profile: You have an excellent Master’s degree in a relevant discipline such as computer science, mathematics, engineering, or the natural sciences, preferably with a completed PhD or an
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scientific questions related to AI or HPC and publish the results in journals or at top-tier conferences Your Profile: You have a completed Master’s degree in a relevant discipline such as computer
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energy-efficient supercomputers Supervise vocational trainees in mathematical-technical software development Your Profile: University degree (Master) in Computer Science, Electrical Engineering, Software
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Master Thesis in Physics or Materials Science: Remanent phase shifter based on memristive technology
website: https://www.fz-juelich.de/en/pgi/pgi-7 and the website for the mentioned project (in German): https://neurosys.info/projekte/ Your Profile: Completed qualification for enrollment in the project
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Germany Type of Contract To be defined Job Status Other 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
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teaching at various levels Experience in acquiring third party funding would be appreciated Very good command of written and spoken English (at least B2 level according to the CEFR: https://go.fzj.de
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fluorescence methods, e.g., spectroscopy and microscopy Computational simulation of the molecular interactions within the liposomal membrane in cooperation with expert teams Summarizing your results in
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Bayesian computational statistics, differentiable programming, and high-performance computing, the project aims to deliver robust, interpretable, and scalable methods for metabolic flux analysis. You will