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to develop and implement continuum formulations of stress-based poro-damage dynamics and hydrofracturing, using new e.g. phase field methods. Models will be validate against date obtained from inverse
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how prophages spread and impact host fitness without interference from background MGEs. All this will be modelled and simulated in silico, and model outcomes will be further validated in the laboratory
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disease. We develop supervised, un-supervised, self-supervised and generative models to learn across multiple types of data rather than treating each data modality in isolation. We have a high focus on
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thereafter. The project The PhD project is mainly based on data from the Generation Healthy Kids project, a large-scale 2-year school- and community-based multi-component, multi-setting intervention among
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of the two models. The assessed applicants will have the opportunity to comment on their assessment. You can read about the recruitment process at https://employment.ku.dk/faculty/recruitment-process
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to the above mentioned research area, techniques, skills and other requirements. The assessor will conclude whether each applicant is qualified and, if so, for which of the two models. The assessed applicants
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refine bulk and advanced analytical methods for the detailed chemical characterization of bio-oil feeds and upgraded products. The analysis will focus on GC-based characterisation available at Topsøe but
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spin. The experimental platform, based on an ultracoherent phononic membrane resonator and an NV-center in diamond, serves as a testbed of protocols for spin-mechanical quantum sensing and transduction
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of computational chemistry. Applicants can have a background from cheminformatics including RDKit, machine learning applied to chemistry, and molecular modeling Our group and research- and what do we offer? Our
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spectroscopy (important). Experience with building UHV systems. Experience or a desire to learn about quantum device fabrication. Experience in modeling with 3D CAD like autodesk inventor. A strong grasp of