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, signal processing and/or wireless communication. Basic knowledge of and/or experience in working with reinforcement learning/other machine learning algorithms Excellent command of spoken and written
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groups. Your main work tasks will be to: Interact with and support user groups at the HIPPIE beamline (including on-call work) Handle the day-to-day operation of the HIPPIE beamline and endstations
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accordance with a set individual study plan. The focus will be on performing research to optimize and test DBTMI by combining state-of-the-art computer simulations, physical experiments, and clinical studies
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design using advanced CMOS technologies, along with a solid background in analog and digital signal processing systems. Comprehensive understanding of the entire IC design flow, including circuit design
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by combining state-of-the-art computer simulations, physical experiments, and clinical studies in radiology departments at the hospitals in the region. You will work in a multi-disciplinary team and
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experience with advanced signal processing concepts as well as digital filters is advantageous. Your workplace You will be working at the Division of Electronics and Computer Engineering (ELDA), which conducts
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, optimization, signal processing, system identification, or control theory. Rules governing PhD students are set out in the Higher Education Ordinance chapter 5, §§ 1-7 and in Uppsala University's rules and
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English is required. Swedish language skills are considered an advantage. Self-motivated with a genuine interest in research and science. Prior experience with advanced signal processing concepts as
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) Studies in the subject Medical Sciences at Orthopedics and Hand Surgery, Department of Surgical Sciences, Uppsala University. Join us! About the Department The Department of Surgical Sciences (IKV) is part
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the main working language. The department is located at the Biomedical Centre in Uppsala, which facilitates collaborations with research groups in biology, pharmacy, medicine and SciLifeLab and gives