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computational scientific workflows. Experience with scientific programming (Python or similar) Experience working in Linux-based computational environments Documented experience with high-performance computing
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discipline prior to enrolment. The successful candidate should demonstrate: Strong programming skills (e.g. Python, C++ or similar) Solid foundation in linear algebra, geometry, and optimisation Experience
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analysis. Experience with programming tools like Python and energy system modelling tools like PYPSA is considered an advantage. The successful candidate should possess a curious and interdisciplinary
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with Robotics Excellent programmer in Java / C / Python / ROS or equivalent Excellent at using Machine Learning software, e.g. PyTorch / TensorFlow / Scikit Learn Highly knowledgeable in mathematical
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or another field that provides a sufficient degree of background in computer science, artificial intelligence, mathematics and data science. Fluency in English, Python, and C/C plus plus are required
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skills (mandatory): Strong understanding of sustainable AI or related areas Experience of programming in Python / C / Java or equivalent Experience with using Machine Learning software, e.g. PyTorch
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. For further information please contact Professor Carsten Uhd Nielsen, e-mail: cun@sdu.dk Website: https://www.sdu.dk/da/forskning/farmaci-sektionen/forskere/researcherswithinsection/carsten-uhd-nielsen
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center CAPE is a partner in various national and international research projects and networks that include collaboration partners from both academia and industry. Read more on: http://www.sdu.dk/en
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benefits (e.g., health coverage, parental leave, social security, etc.) (https://www.sdu.dk/en/om-sdu/international-staff/getting-settled ) POLIMA is located at the University of Southern Denmark in Odense
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-of-the-art equipment, facilities, and infrastructure. • A competitive salary and social benefits (e.g., health coverage, parental leave, social security, etc.) (https://www.sdu.dk/en/om-sdu/international-staff