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better and faster decisions when assessing funding applications, ensuring the efficient and unbiased elimination of poor applications? This question can be addressed through training algorithms on past
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expertise in autonomous marine systems. The research focus will be on development, implementation and verification of novel algorithms for motion planning and control of autonomous underwater vehicles. You
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degradation modes. Evaluating suitable sensor technologies and data sources for acquiring relevant metrics. Developing tools and algorithms to automatically analyse sensor data, assess asset condition, and
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for the PhD education . Assessment The assessment of the applicants will be made by Assoc. Prof. Line Hagner Nielsen, Prof. Stephan Sylvest Keller, Dr. Signe Tandrup Schmidt and Dr. Gabriel Kristian Pedersen
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an optimal molecular representation (including data procurement) and integrating generative model and binding oracles. Propose an algorithm to bias the generative models towards desirable properties, such as
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electricity price signals, demand-response mechanisms, and time-of-use optimization. AI-Driven Optimization using Reinforcement Learning: Apply RL algorithms to develop and train agents that optimize power
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PhD scholarship in Biomaterials-based Approach for the Creation of Artificial Red Blood Cells - D...
. Assessment The assessment will be made by Assoc. Prof. Leticia Hosta-Rigau. We offer DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and
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complexes. Nat Commun. 9(1):2311. Lab and Research Environment You will be part of the research group led by Assoc. Prof. Rasmus Siersbæk (Siersbaek group ) at the Dept. of Biochemistry and Molecular Biology
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in our laboratory (see Nielsen et al. 2024, Nature). We also strive for implementing nano discs from polymers or MSPs to extract or stabilize hDAT. The main task is to solve multiple structures of hDAT
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the interfacial phenomena between water contaminants and adsorbent materials. As a member of the “Nano-Micro-Macro. Structure in Materials” research group, led by Prof. Joerg Jinschek, you will push the boundaries