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. You will draw on ideas from Bayesian optimization and Bayesian deep learning, generative modelling, high throughput screening, and combinatorial synthetic chemistry. Responsibilities and qualifications
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expression and developability. Propose and validate optimization tools for performing (Bayesian) design of experiments. System validation and iterative refinement based on empirical data. Test and refine
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of grading scale A 1-page research statement, including figures and references if deemed necessary (max 500 words). Research achievements (if any), methodological approaches and research objectives relevant
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. damage, corrosion, foreign objects) on subsea cables, pipelines, and installations using data acquired collaboratively by USVs and UUVs in the ABBA system. Key research tasks will include some of the
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a safer ocean together! The research of this project has civilian objectives. However, equipment restricted by export licenses and ITAR (International Traffic in Arms Regulations) is being used
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objective is to surpass the current traditional thermodynamic and optimization approaches, which are constrained in design discovery capabilities and long-term TES performance evaluation. Through your
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control/localization (including short list of references) identify key research gaps, and propose initial ideas for tackling the project’s objectives, including a tentative work plan/timeline. All
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. Below, intended research objectives are listed, but the list is not exclusive. We expect the qualified candidate to further define the plan for the PhD within the first three months of employment
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a collaborative research team and take responsibility for your individual research objectives. As this position is funded under the Marie Skłodowska-Curie Doctoral Network (MSCA DN) programme
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objects and transient phenomena, in the section of Astrophysics and Atmospheric Physics at DTU Space (the National Space Institute at the Technical University of Denmark). We study all kinds