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requirement. Applicants should document relevant competencies through their master thesis, course papers, research-assistant work, software or code repositories, replication materials, or comparable outputs
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in computer science, software engineering, human-computer interaction, Medialogy, AI, machine learning, or a related field. The position will require the candidate to work both on the front and back
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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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software and are motivated to develop and apply dynamic models of energy and chemical processes. You are familiar with programming languages and computational tools. Expertise in a particular software
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of integrating GenAI in professional design software. You will join the Human Augmentation and Collaboration research group, an active and supportive research group focused on designing and evaluating interactive
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. The postdoctoral fellow will conduct research on Algorithmic Verification of Concurrent Systems within the Programming Languages, Logic, and Software Security Research Group at Aarhus University. The focus
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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 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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, interdisciplinary working environment In-house modelling, data processing and data assimilation expertise, software, and High Performance Computation (HPC) infrastructure Excellent scientific infrastructure
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computing, hardware-software co-design, FPGA development, or hardware-accelerated computing will be considered a strong advantage. Familiarity with efficient-deployment toolflows such as TinyML or FINN is a