24 algorithm-development-"Prof"-"Washington-University-in-St"-"Prof"-"Prof" positions at Linköping University in Sweden
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address outstanding questions on behavioural evolution in canids. Your work assignments Understanding how behaviours evolve is a long-standing goal in evolutionary biology. Using the domestic dog as a model
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intersection of AI and experimental science, combining fundamental algorithmic development with real-world applications in scientific imaging. Due to limitations in electron dose and scan stability, microscopy
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, localization, and sensing, with a focus on developing next-generation multiple-antenna systems while optimizing overall system performance. As a doctoral student, you devote most of your time to doctoral studies
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with machine learning and generative AI algorithms, with working knowledge of deep learning frameworks such as PyTorch or TensorFlow is considered a strong advantage. • Extensive experience in multi
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, and includes responsibility for developing the department’s environmental research lab. You will collaborate across disciplines, develop methods aligned with strategic goals, and contribute to seminars
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skills are integrated in the development of professional and interprofessional identities, and how these are expressed in the daily health care work. Research in medical education also includes interactive
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application! Work assignments The purpose of the position as an assistant professor is that the teacher should be given the opportunity to develop his independence as a researcher and to merit both
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at the intersection of AI and advanced electron microscopy. The project focuses on developing novel self-supervised and physics-informed deep learning methods to restore and denoise Transmission
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Light emission diode technology has undergone a rapid development in the last decades, defining a steeply growing worldwide market that comprises small devices like smart phones, tablets, TV
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Pharmacology (KKF). The overall aim of the project is to develop improved diagnostic and predictive tools for hematology and clinical immunology. The project is a collaboration with Sofia Nyström ’s group