998 computer-"https:"-"APOS-UFFICIO-CONCORSI-DOCENTI" "https:" "https:" "https:" positions in Germany
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the EU Research Framework Programme? Other EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Leibniz-Institut für Analytische Wissenschaften
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PhD project involves interdisciplinary research at the interface of computer science and mathematics and addresses a complex, coupled inverse problem with explicit uncertainty quantification. Research
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Your Job: Investigate the potential of novel computing architectures for lattice field theory workloads Contribute to the design and implementation of an open-source lattice field theory framework
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matter properties Physics » Statistical physics Physics » Computational physics Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Country Germany Application Deadline 6 Feb 2026
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9 Jan 2026 Job Information Organisation/Company Academic Europe Research Field Computer science » Informatics Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Germany
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. or equivalent) in applied mathematics or in computational engineering science, computer science, simulation science with a strong background in applied mathematics Excellent programming skills (Python, C/C
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Applicants must be eligible to enroll on a PhD program at US (https://www.uni-stuttgart.de/en/research/early-career-researchers/doctoral-degree-studies/ and https://www.f06.uni-stuttgart.de/en/research/phd
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program at US (see https://www.uni-stuttgart.de/en/research/early-career-researchers/doctoral-degree-studies/ and https://www.f06.uni-stuttgart.de/en/research/phd/ ) Desired skills: Knowledge in aerospace
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program the memristors Operando characterizing the device electrically and morphologically using conductive atomic force microscopy (C-AFM) Access and active control of advanced experimental setups Your
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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