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Field
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About the Opportunity Conduct research on machine learning, control theory, and synthetic biology. The work will combine tools from dynamical systems, control theory, and the theory of algorithms
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structure modeling in cancer immunotherapy design. Profile A — AI PhD in machine learning, computer science, computational science, or a related field. Strong experience with deep learning (e.g., PyTorch
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Qualifications • PhD in Biomedical Engineering, Mechanical Engineering, Electrical Engineering, Robotics, or a related engineering field. • Experience in robotics design, mechatronics, electromechanical systems
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(payable 14 times per year) Responsibilities The applicant is expected to establish an own research group with focus on advanced machine learning and deep learning techniques for remote sensing applications
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to an applicant’s race, color, religion, sex, sexual orientation, gender identity, national origin and veteran or disability status. Minimum Qualifications • PhD in biomedical engineering or a related engineering
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Mechanics, Biomedical Engineering, or closely related Minimum Requirements PhD degree in Mechanical Engineering, Computational Mechanics, Biomedical Engineering or closely related field Desired Qualifications
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technology, essentially empowering machines with the sense of vision. The CVC is a successful marriage between knowledge and innovation. In addition to our cutting-edge scientific achievements, we have
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the development of new research directions at the department. Your competencies You hold a PhD degree in Electrical Engineering, Control Engineering, Electrochemistry or a closely related field or can document
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-level modelling of environmental exposures and health risks; Interpretable and uncertainty-aware machine learning for heterogeneous health data. This position offers the opportunity to work in a
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. Education and scholarly development The postdoctoral associate will receive structured education in computer vision applications in medical imaging, machine learning, research methodology, responsible conduct