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/or large genetic datasets. This may include genetic analyses, causal inference, epidemiological analyses, and clinical prediction modelling using machine learning approaches, and development
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digital twins be used to provide on-line predictions as to the future expected evolution of these critical properties as the basis for safe reinforcement learning (RL) for on-line optimal control”. In
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pMHC multimers Functional evaluation of T cells General knowledge related to cancer immunology and antigens Experience with T cell epitope mapping and ligand predictions Immunology: T cell recognition
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: Recombinant protein expression and purification, biochemical and biophysical protein characterization, protein structure prediction or computational protein design. Furthermore, we expect an interest in
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sets, lexicon development, use of instrumental techniques to correlate or predict sensory characteristics and multivariate data analysis. This position is part of an interdisciplinary research project
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unified data framework for microbial carbon dioxide conversion, integrating data from methanogens, acetogens, and hybrid projects for standardization, kinetic/thermodynamic measurements, and predictive
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and analyse model behaviour and predictions. Publishing high-impact research and contributing to outreach and dissemination activities. In addition to the colleagues at Department of Electrical and
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unified data framework for microbial carbon dioxide conversion, integrating data from methanogens, acetogens, and hybrid projects for standardization, kinetic/thermodynamic measurements, and predictive
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qualifications are a plus: Experience in audio signal processing or speech processing. Experience in condition monitoring or predictive maintenance. Flexibility and self-motivation are desired skills at DTU. In
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the project, we will use large-scale medical images primarily from Denmark, to build domain specific large vision models for radiotherapy tasks, including image segmentation, dose prediction and treatment