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Field
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has 3100 employees and 10,000 students, and offers education in engineering, science, shipping and architecture. With scientific excellence as a basis, Chalmers promotes knowledge and technical
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verbal and written forms. Ability to collaborate with scientists, engineers, and sponsors. Interest in mentoring student internships. Applicants cannot have received their PhD more than five years prior
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The successful candidate will be responsible for: 1. Develop the numerical and analytical tools required to design these tunable random architectures and predict the mechanical behavior
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own ideas and communicate scientific results orally as well as in written form. As a postdoc you will work relatively independently and might get involved in supervision of Master’s and PhD students
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rationale multi-cancer approach and modern genome-wide methods for regulatory genomic features and chromatin architecture. We utilize a wide range of cell-based models, organoid systems together with cutting
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coordinating internal and external collaborations on the research theme. (Co-)supervise master’s and/or PhD students to a certain extent Possibility to engage in teaching at undergraduate/master’s level The
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architectures for remote sensing super-resolution, including training strategies, loss functions, and generalization assessment. Applying and assessing explainable AI methods (e.g. Shapley values) to interpret
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and others) Analysis of the experimental data, ideally connecting to our machine learning tools Presentation of scientific results on conferences and in publications Requirements PhD degree in physics
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Section of the Mechanical and Production Engineering Department. The group currently consists of 3 PhD students. Our focus is to develop new algorithms that allow to discover interpretable and accurate
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deadline A research profile in 6G/wireless technologies and/or free-space optical communications What you will do Supervise master’s and/or PhD students to a certain extent Possibility to engage in teaching