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acceptability. D2ET will develop a comprehensive digital platform for planning energy transition scenarios, leveraging a consolidated data model and advanced analytics to facilitate strategic decisions with
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under civil law in Freising, is a research institution of the Leibniz Association that combines methods of biomolecular basic research with analysis methods of bioinformatics and analytical high
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social acceptability. D2ET will develop a comprehensive digital platform for planning energy transition scenarios, leveraging a consolidated data model and advanced analytics to facilitate strategic
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. You should have a strong academic background in engineering, applied mathematics, or computer science, combined with a clear interest in scientific programming, machine learning, and data analytics
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, especially in ultracold quantum gases or condensed matter theory Proven analytical, computational, and modelling skills Experience with numerical simulations of quantum or many-body systems A deep curiosity
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expertise with laboratory work in a molecular/genetic lab, including DNA- and/or RNA-sequencing technologies.Some expertise in bio-informatics and data-mining is a plus.You have analytical problem-solving
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expertise with laboratory work in a molecular/genetic lab, including DNA- and/or RNA-sequencing technologies. Some expertise in bio-informatics and data-mining is a plus. You have analytical problem-solving
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analytical activities. It is directly involved in selected Commission energy, industrial, mobility and research and innovation policies.
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themselves to analytical treatment; Writing up results and publishing them in reputable international journals. As a PhD student, you devote most of your time to doctoral studies and the research projects
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and oral proficiency in English, the capacity for analytical thinking, the ability to collaborate, as well as creativity, initiative, and independence. The assessment will be based on previous