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. You will work here The project is a part of Open Technology grant for our proposal COre-based PYrrolizydine alkaloid synthesis for Contaminant Annotation and Tracking ( COPY-CAT ). The research is
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contribute to food safety through innovation in analytical chemistry, within a multidisciplinary and collaborative research environment. You will work here The project is a part of Open Technology grant
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medicine. As a PhD student, you will: Build computational models that integrate molecular and genetic data to study possible OA treatments. Develop bioinformatics pipelines, network-based approaches
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diverse work environment with an open culture, where you can be yourself and we pay attention to each other and to the world around us. Make the most of our bicycle budget, or join networks such as Young
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, computer science or mathematics, and have a keen interest in energy applications. Candidates with a background in electrical engineering (especially from a smart power grids background), technology, policy and
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analysis systems, to ensure safe and trustworthy results. This can involve research questions from NLP and AI like model robustness and guardrails, human-computer interaction such as interpretability and
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within the next three years is to be expected. A university PhD training programme is part of the agreement and the candidate will be enrolled in the Graduate School of Science and Engineering. The
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, engineering, informatics, or a related field. Proven experience in energy system modeling, preferably with PyPSA or a similar framework. A strong understanding of energy system modeling and optimization
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communication skills are encouraged to apply. A MSc degree (or equivalent) in Mechanical Engineering, Computational Physics, Materials Science or a related discipline is required, with experience in atomistic
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Engineering, Computational Physics, Materials Science or a related discipline is required, with experience in atomistic modelling of materials and machine learning. Experience in atomistic modelling (molecular