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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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help design strategies that are both evidence-based and publicly accessible, bridging the gap between complex scientific knowledge and societal decision-making. Key aspects include: Applying AI-based
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computational fluid dynamics and numerical modelling will be used to simulate performance under varying runoff scenarios, pollution loads and climate conditions. By developing advanced road gully designs with
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strong interest in aluminum alloys, fatigue analysis, and numerical modelling is preferred. Experience with computer aided design and engineering (CAE, e.g., Abaqus, Ansys) software tools commonly used in
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INTENSIVE LEARNING ACADEMY FOR INNOVATION IN HEALTH AND SOCIAL CARE The All-Wales Intensive Learning Academy for Innovation in Health and Social Care has been developed to deliver a world-class learning
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Deadline 9 Jan 2026 - 12:00 (UTC) Type of Contract Not Applicable Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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Max Planck Institute for Intelligent Systems, Tübingen site, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 11 days ago
well as experience in computer vision and machine learning. Your tasks will be to: Develop and enhance capture systems which include creating the hardware system and study design. Data collection using the developed
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the expertise of the department. Supervisors can vary per paper that you are working on. For general questions regarding the doctoral program in Innovation Management, please reach out to Kathrin Borner Opens
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, computational modelling, digital ethnography and design research. It is a highly interdisciplinary program, including communication and cognitive science with AI and (computational) linguistics, human-computer
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demonstrate their ability and aptitude for teaching assistance work, with a degree or transcripts of courses relevant to Mechanical Engineering and/or Computer Science. Any background and/or hands-on experience