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professor, one assistant professor, one postdoc, and a large number of PhD students. The project includes strong partnerships with the University of Leipzig (Bioinformatics, Prof. Peter Stadler
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degraded DNA Analyse downstream population genomic metrics of extinct species Contribute to software documentation, tutorials, and user training Qualifications: A two-year master's degree (120 ECTS points
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strong background in industrial engineering, computer science, software engineering, energy systems, robotics, or related disciplines Interest in AI, simulation, and optimization for energy and industrial
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, covering both foundations as well as various applications such as quantum computing and quantum software. Odense is a fast-growing international community with affordable housing and living costs. For more
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bioinformatics, AI and ML software tools to integrate and process the datasets quickly and efficiently. You will also work closely with other computational and experimental biologists to uncover new insights
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process. Together, these innovations aim to make column generation more practical for solving real-world, large-scale optimization problems. These innovations will be tested within a structured software
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Energy simulation software, such as TRNSYS, Modelica, EnergyPro Programming languages, such as Python Ability to communicate results in technical reports, and prepare scientific papers for publication in
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performance engineering use cases, extensive software development experience, and knowledge of machine learning frameworks (such as transformers and torch) are pluses. MSc candidates about to complete will also
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Analysis Software (e.g., OpenSees, Abaqus) is highly desirable. Ability to work independently and take initiative in planning and executing computational research. Willingness to join multi-national
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. Experience in coding (e.g., Python) and in the use of Structural Analysis Software (e.g., OpenSees, Abaqus) is highly desirable. Ability to work independently and take initiative in planning and executing