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under uncertainty (e.g., planning, reinforcement learning, probabilistic reasoning); Multimodal information fusion and state estimation; Foundational or representation learning models for robot
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point of this PhD to link experimental work to enzyme function and kinetics. You should have a solid foundation in chemistry and biotechnology, as well as both theoretical knowledge and hands
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refined technology available, we are getting more and more answers and further insight about the Earth and the universe surrounding us. We contribute to about 200 scientific publications a year. In the
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, and use both in silico and in vitro methodology to conduct ground-breaking research? We are seeking a highly motivated PhD candidate to join the newly formed “Protein Design and Function Lab” headed by
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Job Description Join our interdisciplinary team developing state-of-the-art 3D X-ray microscopy for life science applications. ‘Seeing is believing’, therefore at the DTU 3D imaging center we
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of feedstock, pretreatment methods and microbial products such as, SCPs. Deploy a comparative assessment of model performance at various TRLs Tested performance difference between modes of production (solid and
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with academic and industrial partners across the MET2ADAPT consortium. The PhD provisionally includes 3 months secondments (indicatively) at: Columbia University (USA) for advanced training in stochastic
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(table-top) tests probing such connections with techniques from quantum optics and quantum information science. At QPIT you will be part of bigQ - Center for Macroscopic Quantum States - a Danish national