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and fatigue analysis. Experience in coding (e.g., Python) and in the use of structural analysis software (e.g., Abaqus, OpenSees) is desirable. Familiarity with virtual sensing techniques, state
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to support design and development decisions, rather than solely as post-design analysis tools. You are comfortable working with software environments such as Ansys and OpenFOAM and are motivated to further
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servers Technical tasks such as hardware maintenance, software setup, firmware updates, and field equipment support Support of teaching in relevant areas Providing advice to BSc, MSc, and PhD students, as
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software. You will join the Human Augmentation and Collaboration research group, an active and supportive research group focused on designing and evaluating interactive systems that extend human capabilities
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cohort studies. The position is for 3 years, starting on October 1, 2026, or as soon as possible hereafter. Information on the Department of Public Health can be found at https://publichealth.ku.dk/ Our
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, etc.), concurrent programming languages (choreographic programming, session types, etc.), distributed computing (cloud computing, microservices, etc.), Dev(Sec)Ops, software engineering (software
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) Curriculum vitae Grade transcripts and BSc/MSc diploma (in English) including official description of grading scale Links to relevant public code repositories, software artifacts, datasets, or research
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and renewable fuel production. You have experience with process-modelling tools such as Aspen Plus, Aspen HYSYS or other related software and are motivated to develop and apply dynamic models of energy
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., PTRwid or PTRViewer, or similar software), as well as experience in programming, command-line environments, and statistical analysis (e.g., R, Python, or related tools). Experience with metagenomics (e.g
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in e.g. programming, algorithms and data structures, software systems architecture, use of AI, data acquisition and fullstack software-development. Following the Problem-Based Learning (PBL) model, you