506 data-"https:"-"https:"-"https:"-"https:"-"UNIVERSITY-OF-RIJEKA" positions in Denmark
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assessment. Design and train reinforcement learning agents to optimize operational safety. Build and validate dynamic Bayesian network models integrating empirical and synthetic data. Conduct scenario-based
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the form and attach your motivated application, CV and exam certificates. If you would like additional information about the position, please contact Alireza Dolatshahi-Pirouz (aldo@dtu.dk ). You can read
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are more than welcome to contact us. You will find contact persons at the bottom of the jobpost. Further information Read more about our recruitment process here. The assessment of candidates
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? If you have any questions about the position, you are more than welcome to contact us. You will find contact persons at the bottom of the jobpost. Further information Read more about our recruitment
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data We are looking for a candidate with a structured working style and the ability to multitask with attention to detail. You must have a positive mindset and willingness to take on both routine and
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, high-throughput screening, and state-of-the-art carbohydrate analysis, to validate computational designs and generate data that advances our knowledge of enzymatic carbohydrate synthesis towards
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reactors Maintain detailed records of experimental data, process conditions, and system modifications. Publish scientific articles based on data collected during the research, development, and innovation
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your motivated application, CV and exam certificates. If you would like additional information about the position, please contact Academic Employee Yaman Göksel at yagok@dtu.dk , or Professor Anja Boisen
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charging strategies for lithium-ion batteries. The goal is to integrate model-based (digital twin) and data-driven (AI) methods to design and experimentally validate optimized pulse charging protocols. A
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, biomaterials, circular design practices or other related developments. Proven experience with data-driven methods will be regarded as advantageous. Experience in developing and managing laboratory infrastructure