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                and 3D electromagnetic simulations is considered a significant advantage. Your workplace You will be working at the Division of Electronics and Computer Engineering (ELDA), which conducts teaching and 
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                and advanced levels, primarily in our engineering program in Construction Engineering and our master's program in Digitalized Construction. Course orientations where you may be involved include 
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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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                undergraduate and advanced levels, primarily in our engineering program in Construction Engineering and our master's program in Digitalized Construction. Course orientations where you may be involved include 
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                educational technology on learning in public educational spaces. You are expected to produce research outputs relevant to the fields of visual learning and communication, and computer science. These outputs 
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                application! We are looking for a PhD student in Medical Science. Your work assignments As a PhD student, you will participate in the project: Predictive markers for chemotherapy-induced toxicity in childhood 
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                well as digital filters is advantageous. Your workplace You will be working at the Division of Electronics and Computer Engineering (ELDA), which conducts teaching and research in a broad range of areas, from 
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                afferent recordings using microneurography Publication and dissemination of findings Qualifications To be qualified to take employment as postdoc, you must have been awarded a doctoral degree or have a 
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                -precision . The DDLS Fellow-programme Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular 
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                level in computer science or completed courses with a minimum of 240 credits, at least 60 of which must be advanced courses in computer science, mathematics, AI, machine learning or similar. Alternatively