30 programming "https:" "https:" "https:" "https:" positions at University of Copenhagen
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PhD position in Reversible Programming Languages (MSCA Doctoral Network E-CoRe, DC1), University of Copenhagen The position is doctoral candidate DC1, “Reversible Programming Languages", in the Marie
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Reversible Languages", in the Marie Skłodowska-Curie Doctoral Network E-CoRe. The position is available from 1 January 2027, or after agreement. Job description The Programming Languages and Theory of
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., differentiable programming) for upscaling of GHG fluxes, and who is willing to discuss the model complexity needed to capture global-scale wetland GHG emissions. The work will build on ongoing model
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develop a microbial-explicit version of the dynamic vegetation model LPJ-GUESS. You will join a dynamic team at the Center of Excellence VOLT (Center for Volatile interactions, https://volt.ku.dk
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funding applications will be considered an advantage. Experience in advanced statistical analyses and programming (e.g., R, Python, or related tools) is an asset. Further information on the Department
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technology and formulation, drug delivery, advanced drug analysis, and clinical and social pharmacy. Information about the Department can be found at https://pharmacy.ku.dk/ Job description Your
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. The project is conducted in collaboration with the deep probabilistic programming group of Thomas Hamelryck : https://di.ku.dk/english/research/groups/machine-learning-in-biology/?pure=en/persons
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Food Processing. a PhD (or soon-to-be PhD) in areas related to bioprocessing or food science Academic preparation as well as (proven) experience in membrane cleaning Strong programming skills in
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facilities within neuroscience. CTN is a highly ambitious, collaborative research environment which currently has 50 employees and students and is divided into five labs. For more information: https
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simulations by developing simulations that can be automatically tuned to be realistic enough that the trained models generalize to real experimental data. The project will combine differentiable programming