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predict and model protein-ligand/protein-metabolite interactions. High proficiency in standard programming languages used in bioinformatics (e.g., Python, R) and familiarity with version control (e.g
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beneficial as well as characterization techniques such as electron microscopy, X-ray diffraction, and X-ray photoelectron spectroscopy. Basic programming skills in Python would be helpful. We offer DTU is
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. Experience in LLM post-training and benchmarking/evaluation. Experience building agent harnesses and the software environments used to run and evaluate them. Strong Python programming and software
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hope that you have experience in the following areas: Knowledge of computer science and machine learning. Familiarity with electrical and electronic engineering. Proficiency in programming languages
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following points: Power system dynamics Optimization (convex optimization, MILP, non-linear) Machine learning techniques, statistics, and probabilities Programming tools such as Python, Julia, Pytorch
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background and interest in AI systems, embedded intelligence, edge computing, machine learning, or related areas. Strong analytical and mathematical problem-solving skills. Experience with programming