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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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and AI-based segmentation, with a particular emphasis on inter-vehicle collaboration. The overall goal is to develop robust, scalable methods for detecting and classifying structural anomalies (e.g
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), and the Head of the RES section Gregor Giebel (grgi@dtu.dk ). You can read more about the department at https://wind.dtu.dk/ If you are applying from abroad, you may find useful information on working
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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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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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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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. 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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that respond to real-time electricity inputs and operational constraints. Key Research Objectives: Experimental Research on Electrolyzers: Design, operate, and analyze lab-scale Alkaline and PEM electrolyzers