73 programming-"the"-"DAAD"-"U"-"IMPRS-ML"-"Leibniz"-"FEMTO-ST" positions at University of Southern Denmark
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. The hired candidates will be part of the section of Artificial Intelligence, Cybersecurity, and Programming Languages (ACP), an ambitious group that fosters collaboration, research excellence, and quality
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completion of a lecturer training programme and a positive performance evaluation, a permanent position for associate professor is normally opened, for which the assistant professor can apply. An associate
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the opportunity to shape our educational programme to benefit from new developments in pedagogical approaches and content. We expect The candidates must have a PhD degree in algebra, algebraic geometry
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the project, with guidance. Relevant example tasks here are: developing data pipelines for processing satellite imagery and collecting data from Sentinel satellites programming and software tasks, e.g. creating
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Portfolio (mandatory for associate professor applicants). Summary and documentation of experience in teaching (for assistant professor applicants). Research plan (mandatory for associate professor applicants
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and documentation of experience in teaching (for assistant professor applicants). Research plan (mandatory for associate professor applicants – voluntarily for assistant professor applicants). A
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, or a closely related field. Strong programming and system integration skills in languages and platforms relevant to embedded systems (e.g., C/C++, Python, real-time operating systems). Research
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Experience with VLSI design (Cadence tools, Verilog/VHDL, SPICE) Knowledge of neural networks and neuromorphic systems is a strong advantage Good programming skills (e.g., Python, MATLAB) and interest in
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enthusiastic about contributing to the advancement and quality of the Physics and Technology education program offered by the institute and we will prefer candidates who bring experience in higher education
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project supported by the Challenge Programme of the Novo Nordisk Foundation: “Mathematical Modelling for Microbial Community Induced Metabolic Diseases”, led by Prof. Daniel Merkle. The expected starting