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environment research experience working with real-world non-linear dynamic data, networks, and ideally with applying coupled oscillator models strong programming skills in e.g., Python previous research
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operators, transformers/LLM) and NN training. Strong Python programming skills (as a plus: C++ or Julia) and knowledge of scientific computing libraries (numpy, scipy, JAX…) and machine learning libraries
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structure and function Biofilms and EPS Excellence in both written and spoken English As a group member you will be expected to be a team player, where you contribute to student co-supervision, teaching and
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analytical skills, and a proactive and collaborative attitude. Excellent communication skills in English, both written and spoken. You should have a solid background and research experience in computer vision
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should hold a PhD degree in electrical engineering, aerospace engineering, mechanical engineering, computer engineering, computer science or similar. Required skills: Good programming skills in C
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fluent in English. Show strong interpersonal and organizational skills, as well as a collaborative spirit. We acknowledge that imposter syndrome is a widespread phenomenon in academia, but it should not
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, geophysics, mathematical modelling, or related fields. The ideal candidate should have: Experience with numerical climate models (such as EC-Earth or similar GCMs). Advanced programming skills in Python
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welfare for animals and humans. The activities form the basis for the research-based public sector consultancy and degree programs covering bachelor's, master's and PhD degree programs within animal science
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welfare for animals and humans. The activities form the basis for the research-based public sector consultancy and degree programs covering bachelor's, master's and PhD degree programs within animal science
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Science, Technology and Innovation . The application must be in English and include a curriculum vitae, degree certificate, a complete list of publications, a statement of future research plans and