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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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Are you passionate about amyloid proteins and curious to understand the underpinnings of Alzheimer's disease? This postdoc position is a chance to join the Esbjörner Lab, a crossdisciplinary group
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postdoctoral position in data analysis, where you will apply machine learning techniques to understand how resistance genes spread and to help detect infections caused by resistant bacteria. The position is part
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with modern machine learning and AI technologies to effectively address large-scale problems. About the research project We are seeking a highly motivated Postdoc to join our group in developing
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, the Robotics, Perception and Learning Lab at KTH, and the Department of Mathematics at KTH. It also involves active engagement with industry partners, including H&M, Volvo Cars, Zenseact, and Embellence Group
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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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The position's field of research focuses on developing and implementing safe, transparent, and explainable AI systems using multimodal deep learning and Large Language Models (LLMs) for healthcare
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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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-scale computational methods, and bioinformatics. The division is also expanding in the area of data science and machine learning. Our department continuously strives to be an attractive employer. Equality
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commitment to lifelong learning. The department emphasizes strong collaboration between academia, industry, and society, with a clear focus on utilisation. M2 is characterised by an international environment