517 data-"https:"-"https:"-"https:"-"https:"-"UNIVERSITY-OF-HELSINKI" positions in Denmark
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, or according to mutual agreement. The working location will be DTU Construct, Lyngby Campus. You can read more about career paths at DTU here . Further information Further information may be obtained from Senior
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will find contact persons at the bottom of the jobpost. Further information Read more about our recruitment process here The appointment process at Aalborg University involves a shortlisting process. You
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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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welcome to contact Head of Research Group and Professor Lone Kørnøv,+45 2310 4448, lonek@plan.aau.dk You will also find contact persons at the bottom of the jobpost. Further information Read more about our
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is used to identify stakeholders of DSM in Norway, Greenland, and Denmark, and collect, codify and analyse data on stakeholders’ communication and representations of the Arctic Deep Sea. Field visits
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environment. There is overall a close collaboration between the academic and the clinical staff at DCPT. About the research project The research project of this postdoc will be based on follow-up data from a
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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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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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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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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