1,409 computer-programmer-"https:"-"Prof" "https:" "https:" "https:" "https:" "IFM" "IFM" "IFM" positions in Germany
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available in the further tabs (e.g. “Application requirements”). Programme Description The SBW Berlin scholarship programme supports social commitment through the development of social projects during
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in computer science, data science, and research IT. The overarching goal is to jointly develop sustainable, FAIR-compliant data structures that will support scientific discovery within the cluster in
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automation in industry. Disruptive technologies such as artificial intelligence and quantum computing play a key role here. Fraunhofer IKS is conducting research to ensure that these applications are reliable
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towards a more sustainable future. The Core Unit High Performance Computing (HPC) at the Max Planck Institute of Geoanthropology is the central support unit and technical partner for researchers. We help
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Sensors play a pivotal role in modern analytical sciences, particularly in the development of high-performance platforms for the detection of biological and chemical analytes. Applications span health care, environmental monitoring, breath diagnostics (breathonics), and industrial safety....
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mainly in relation to transformers Experience with Pytorch and transformer architectures is desirable Good English skills Enrolled student (Computer Science, Data Science, Mathematics or similar
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! background in computer science, open-source projects, digital engineering, data science or related fields good software design skills and experience in building and maintaining data processing pipelines and
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University services Teaching / training abroad (Erasmus+) Back Erasmus+ within Europe Erasmus+ worldwide Information for Back Prospective Students Current Students Staff Back Advice and help Computer and IT
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systems for measurement processes, or innovative hardware and software for quantum computers and quantum sensors: we develop tomorrow's technology in-house for a sustainable and secure society. When will
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. Applicants should have a background in population genetics/genomics, molecular ecology, biodiversity informatics, or a related field. Experience with large-scale data analysis is essential. Additional