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visible research, strong industry links and diverse environment create a collaborative setting where ideas grow into real impact. At the division of Interaction Design and Software Engineering , we design
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science » Computer systems Computer science » Modelling tools Computer science » Informatics Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 1 May 2026 - 23:00 (Europe/Paris
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Design Lab – works on modelling, control and optimization for mechatronic systems, industrial robots and processes (https://dynamics.ugent.be ). We are part of the department of Electromechanical, Systems
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David Morin at the Department of Structural Engineering at NTNU. Proposed starting date: August 1, 2026. PhD Position 2: Modelling fillet Welds in Aluminium Structures We are seeking a highly motivated
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software development. E3 Experience in training deep learning models in research projects at scale. E4 Experience of applying good software engineering practices including but not limited to devising and
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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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vision foundation model capable of accelerating discovery across the life sciences. We are seeking a highly skilled AI Research Engineer to join our team and advance our AI-driven scientific initiatives
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engineering, and data intensive methods, with a strong focus on real world impact through collaboration with industry, utilities, and public stakeholders. Research themes The PhD positions are embedded in
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learning for software security. The position is for four years of full-time doctoral studies at the Department of Computing Science, where you will be able to work in a dynamic environment with 170 employees
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presenting technical work at scientific conferences Required Qualifications: Required qualifications PhD in engineering, neuroscience, biostatistics, bioinformatics, computer science, or a related quantitative