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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 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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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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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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AI models. Identifying relevant modalities to enhance prediction performance, with a focus on multi-spectral sensors, will be a key research area. Additionally, anomaly detection for modalities other
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Software Defined Vehicles (SDV). The primary objective is to expand, mature, and industrialize a novel European RISC-V automotive ecosystem that enables next-generation high-performance European automotive
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supply chain design, including the application of multi-objective optimization techniques, particularly within the context of biorefineries and biomanufacturing. The successful applicant will also bring