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effect prediction. The fellow will work under the mentorship of Dr. Alex Luedtke and collaborate with an interdisciplinary team of statisticians, physicians, computer scientists, and health policy
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, modular battery with machine learning algorithms. The aim is to develop a high-performance, intelligent battery system that includes advanced thermal management and high-performance battery management
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functioning of the civil society that can last longer than the time of the incident itself. The criticality of the energy sector and the possible high impact of cyber incidents and attacks are well understood
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skills. Demonstrated ability to work independently and as part of a team with minimal supervision. Demonstrated capacity to deliver high-quality project outcomes in a timely manner. Computer programming
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characterization techniques (e.g., Micro-CT, XRD, SEM, EDS, EBSD, TEM) and (5) mechanical performance qualification (e.g., hardness, tensile, fatigue, high strain rate) in simulated operational conditions to assess
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Independent definition, development and implementation of processes for transferring promising laboratory concepts into the 300 mm high-tech cleanroom environment Optimization of process flows and metallization
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28 Oct 2025 Job Information Organisation/Company University of Stavanger Department Department of Energy and Petroleum Engineering Research Field Mathematics Physics Computer science Technology
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effect prediction. The fellow will work under the mentorship of Dr. Alex Luedtke and collaborate with an interdisciplinary team of statisticians, physicians, computer scientists, and health policy
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, biomedical or computational imaging). A detailed knowledge of molecular imaging, or material science is mandatory. Experience in designing and performing scientific work independently and collaboratively is a
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the Job related to staff position within a Research Infrastructure? No Offer Description The candidate will develop and employ a variety of computational biology techniques to perform antibody design