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Mass Spectrometry and Systems Biology research unit’ at BMB and the ‘Danish National Mass Spectrometry Platform for Proteomics and Biomolecular Imaging’ (PLATO), which provides a highly international
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code, combined with advances in automation, analytics and data science, has fundamentally changed the scope and ambition of harnessing the potential of biological systems. Big data approaches and
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designs, building effective and conceptual models to inform our theoretical understanding, and developing code and theory frameworks to address new topological phenomena. Depending on the project’s results
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PhD scholarship in Biomaterials-based Approach for the Creation of Artificial Red Blood Cells - D...
to develop new and innovative services and products which benefit people and create value for society. DTU Health Techs expertise spans from imaging and biosensor techniques, across digital health and
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can have a background from experimental and theoretical quantum opto- or electromechanics, nanomechanics, NV magnetometry and imaging, and low-temperature techniques. We are looking for individuals
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for the globally expanding healthcare sector with its demands for the most advanced technological solutions. DTU Health Tech’s expertise can be described through five overall research areas: Diagnostic Imaging
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-XFEL and ESS for advanced materials studies and is host for the 3D imaging center Plasma Physics and Fusion Energy working in international collaborations on realizing non-fossil-based energy
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. The position will involve development of codes/models simulating the nucleation and propagation of stress corrosion cracking in samples under low cycle fatigue conditions, as well as models for linking
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predictors in an efficient closed loop paradigm, to optimize the fitness as well as the information gain in each cycle. Responsibilities Propose AI models for an integrated approach for binder design, using
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CMOS analog/mixed-signal circuits (Cadence, Spectre, etc.) Optimize circuits for power, noise, and area constraints Prototype and validate circuits with EEG signals and wearable sensors Collaborate with