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, microstructure, and properties. Data analysis and preparation of scientific papers, reports, and conference contributions. Mandatory requirements: PhD in Materials Engineering, Metallurgical Engineering, or
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, computer vision, robotics, biomedical engineering, computer science, biomechanics, neuroscience, signal processing, or a closely related discipline. Strong expertise in machine learning and deep learning
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into practical design principles for low-debris surfaces and operating windows in advanced EUV source environments. Qualifications You have (or will soon obtain) a PhD in (Applied) Physics, Mechanical Engineering
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work with 4 PhD candidates across the universities involved, who will be hired for this project. Job requirements PhD in building engineering, meteorology, civil engineering, or related fields
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are strong in advanced chemical engineering research and enjoy hands-on experimental work. You are eager to grow your expertise and enjoy engaging with and supporting students. You need to have: A PhD
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of Computer Science and Electrical and Computer Engineering. INESC-ID’s research impact is focused on four Thematic Lines Energy transition Life and health technology Security and privacy Societal digital
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tissue engineering is desired. This is an outstanding opportunity for persons interested in ultimately pursuing a medical and/or bioengineering career path. Applicants must have a PhD, and/or MD
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fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A PhD in mechanical engineering, computer science, or a related field completed within
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concerns applied science for and often with public and private partners. Job requirements We are looking for a highly motivated researcher with: A PhD in a relevant discipline, such as urbanism
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Uppsala University, Disciplinary Domain of Science and Technology, Faculty of Mathematics and Computer Science, Department of Information Technology Are you interested in working with probabilistic