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sustainable digital transformation of smart cities, industrial Internet of Things technology, autonomous systems, and cyber‑physical systems. The position is focused on research and development of robust
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the interface of machine learning and biology (tools developed by the team: https://github.com/cantinilab). The team is composed of 8 people : 3PhD students, 3 post doc, 1 research engineer and 1 assistant
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and collaborate effectively. Experience in healthcare and medical device environments is highly valued. ● PhD in computer science, electrical engineering, biomedical engineering, cybersecurity
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the interface of machine learning and biology (tools developed by the team: https://github.com/cantinilab ). The team is composed of 8 people : 3PhD students, 3 post doc, 1 research engineer and 1 assistant
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structures, advanced structural analysis, computational mechanics and structural performance under extreme loadings. Requirements A PhD in Civil/Structural Engineering (or a closely related field); With
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Dortmund, we invite applications for the Research Group Analysis of Microscopic BIOMedical Images (AMBIOM): PhD Candidate (m/f/d) The position is part of the DFG-funded project: ComplexEye - a 96/384-well
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meet the following requirements: Doctoral degree (PhD) in Electrical Engineering or a closely related field At least (3) three years of experience in the position of associate professor, professor
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administration experience. Proficiency in at least one relevant technical domain. Strong software engineering skills and familiarity with collaborative development practices. Ability to work closely with
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fields such as science, engineering, medicine, social sciences, or humanities. See the Home Office guidance: https://www.gov.uk/global-talent ; It is an Innovate UK requirement that candidates hold a
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are in compliance with the necessary trainings (both at the lab and at the institutional level). Minimum Education and Experience: A PhD degree in Computer Science, Electrical/Computer Engineering, or a