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: Modern machine learning approaches are increasingly exploited to automate and optimize fault detection and classification. We propose to investigate methods that improve diagnostics under under-represented
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Expansion: Implementing the next phase of the project to transition from rigid-body models to sophisticated systems for protein ensemble modeling. Computational Optimization: Resolving hardware-specific
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, assembly, adaptation, operation, and optimization of plasma systems and reactors; on the processing of liquid materials and precursor suspensions; on the treatment and processing of materials by thermal
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phenomena to improve treatment effectiveness? PhD Candidate We are looking for a PhD candidate for the project “The Power of Modulating Emotional Memory in Mental Health Treatment”. This project entails a
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The PhD thesis will be carried out at the Interdisciplinary Carnot Laboratory
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NTNU and the application process here. About the position This PhD position will be hosted at the Department of Engineering Cybernetics (ITK), holding peak competences in decision-making, optimization
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» Cybernetics Engineering » Control engineering Engineering » Mechanical engineering Engineering » Electrical engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application
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lead the design, production, purification, and quality control of adeno-associated viral (AAV) vectors for in-vitro and in-vivo studies for preclinical and translational projects. Requirements: · PhD in
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methods and optimization-based decision making. Are you motivated to take a step towards a doctorate and open exciting career opportunities? As a PhD Candidate with us, you will work to achieve your
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optimization and MPC Strong programming skills (Python, C) Personal characteristics To complete a doctoral degree (PhD), it is important that you are able to: Work independently, but seeking feedback and