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Job Description Are you ready to push the boundaries of innovation and engineering excellence? Join our PhD program and tackle cutting-edge challenges in future district energy design. We seek a
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. Preferred Qualifications Experience with wind energy systems, kite dynamics, or similar, in renewable energy. Knowledge of Julia, plus other computational modelling tools (e.g., ANSYS, Simulink) Knowledge
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livestock in Denmark as part of the Danmap program (www.danmap.org ). In addition to scientific publication, the obtained quantitative epidemiological models should be integrated into a mathematical tool that
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, might be for you! Responsibilities and qualifications As part of the MULTIBIOMINE project, you will develop computational methods that use novel strategies to uncover hidden features in large microbiome
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Job Description We are now seeking a candidate for a 3 year PhD program as part of the European Marie Skłodowska-Curie Actions Doctoral Network on “Airborne Wind Energy TRAining
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in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . We
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our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . We offer DTU is a leading technical university globally recognized
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/multiqubit . The project is supported by an ERC Consolidator grant (€ 2.6 million) from the European Research Council (EU). Our research aims at exploring quantum information science at the nanoscale and
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tailored specifically to the particularities of TCR interactions. As part of the Deep Immune Receptor Modeling (DIRM) grant from the NNF Data Science Collaborative Research Programme, this PhD position will
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desirable, but not essential skills for both projects: Proficiency in molecular biology techniques, such as (q)PCR Experience in computational data analysis, e.g., for scRNA-seq You must have a two-year