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Job Description We are looking for an ambitious biologist or veterinarian with an interest in diet, intestinal microbiome and chronic kidney disease. You will become part of our internationally renowned research group for Gut, Microbes, and Health at the National Food institute, Technical...
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– Department of Mathematics and Computer Science – is an internationally recognised academic environment with over 400 employees and 10 research sections. We broadly cover digital technologies within mathematics
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the fields of control theory, artificial intelligence, and robotics. You will work alongside leading experts in the field, collaborate with national and international partners, and access state-of-the-art
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quantum systems and quantum networking theory. Experience with numerical modeling of open photonic quantum systems. Experience with scientific computing using Python and/or Julia. Desired qualifications
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systems Documented knowledge in power and energy markets preferably Nordic and European markets Documented knowledge in dynamic modelling of power system Knowledge of mathematical optimization. Knowledge
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Job Description Are you a budding scientist eager to build a strong foundation for a successful research career? The DTU National Food Institute invites applications for a PhD scholarship focused on the optimization of bioactive compound extraction from various seaweeds for the development of...
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education and knowledge dissemination. Job description We seek PhD students that will contribute to new generations of scalable, model-based tools for cyber-physical systems based on a mathematical sound
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Job Description The Department of Mathematics and Computer Science at the University of Southern Denmark, Vejle, invites applicantions for PhD positions with a focus on Software Architectures and
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modeling in LLMs with a focus on mapping these models to hardware. The research will address: Mathematical formulation and architecture of SSMs for language tasks Energy-efficient implementation in CMOS
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. You should have a strong academic background in engineering, applied mathematics, or computer science, combined with a clear interest in scientific programming, machine learning, and data analytics