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Field
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measurements. Have a background in computational biology, bioinformatics, or machine learning for biological problems. Have experience with modern deep learning frameworks (PyTorch, JAX, or equivalent). Have
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, Computer Science, Human-Computer Interaction, CSCW, or a related field. Experience conducting empirical research in software engineering or knowledge-intensive organizations. Strong competence in qualitative and/or
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systems to communication solutions and biomedical engineering. The Electrical Machines and Power Electronics unit conducts research and education in electrical machines, power electronics, drive systems
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. Special reasons include absence due to illness, parental leave, appointments of trust in trade union organisations, military service, or similar circumstances, as well as clinical practice or other forms
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of computer scientists. Extent: 100% employment, distributed as 80% research and 20% departmental duties (typically teaching at the BSc or MSc level). The position is meritorious for future roles in
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. The following experience will strengthen your application: industrial product development or manufacturing research modelling and simulation, digital twins or digital threads AI, machine learning
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, such as sick leave, parental leave, clinical service, service as a union representative, military service or similar, or service/ assignment of relevance to the appointment. Applicants must demonstrate
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agents Experience developing infrastructure for machine learning workflows Experience contributing to open data platforms or large scientific databases Awareness of diversity and equal opportunity issues