10 postdoc-in-control Postdoctoral positions at Chalmers University of Technology in Sweden
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We are looking for a postdoc to join our team at the Division of Engineering Materials at Chalmers University of Technology . The research will focus on the use of magnetic fields to control
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condition where sudden thrust loss occurs due to airflow separation. This project aims to develop an active flow control (AFC) system to enhance sail performance and mitigate stall effects. We offer a postdoc
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To qualify for the position of postdoc, you must hold a doctoral degree awarded no more than five years prior to the application deadline. PhD in business, engineering, or related field Good command of spoken
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development of sustainable energy systems by use of heterogeneous catalysis for alternative fuel production, emission control, energy storage, and fuel cells. The research is interdisciplinary with strong
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-dimensional latent space representation of a distribution from which new examples can be drawn and images be generated. To be able to control and manipulate the images, one aims for a disentangled latent
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. Supervise MSc and PhD students (co-supervision). Contribute to writing research proposals in the field. Qualifications To qualify for the position of postdoc, you must have a PhD degree in automatic control
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Group within the Quantum Technology Laboratory (QTL) at the Microtechnology and Nanoscience (MC2) department, working in a large team of PhDs, postdocs and researchers. About the research We are seeking
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on LLM-based risk analysis and demonstrate its applications in various risk control measures. You will collaborate closely with other researchers at the division and contribute to building a shared
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to develop a more sustainable and energy efficient method for recycling carbon fibre composites. The approach uses alternating magnetic fields to heat the material in a controlled way, breaking down
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Agency for Government Employers). Previous experience and expertise in any of the following areas is meritious: stochastic analysis, interacting particle systems, large deviations, stochastic control