49 parallel-programming-"DIFFER"-"Mohammed-VI-Polytechnic-University" PhD positions at Technical University of Denmark in Denmark
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will join the PhD School at DTU Wind and Energy Systems. Responsibilities and qualifications In your PhD project, you will investigate the value of flexibility in energy systems under different
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by the EU Horizon program, you will have the opportunity to develop and utilize cutting-edge smart materials (e.g., metal-organic frameworks) to design a groundbreaking air-cleaning system that can
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for startups and investigate the role and effectiveness of different types of funders. The PhD project will be supervised by Associate Professor Maria Theresa Norn at DTU Entrepreneurship. The PhD student will
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science to life’ and we believe in openness, inclusiveness, having ambitions, making a difference and collaboration. You will play a role in the drug delivery part of the research section, interacting with
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absolute environmental sustainability assessment of food systems. Have programming skills and an understanding of key methodological concepts relevant to the field. Be driven by a strong motivation for
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sustainable agriculture. You are excited about both the applied and fundamental science aspects of the project. You must be ambitious, well organized, structured and enjoy interacting with many different people
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-on laboratory work, easily grasp new analytical and experimental techniques. You enjoy learning new things and like seeking connections between different topics. You enjoy working in an interdisciplinary
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capabilities of conducting independent research, a strong desire and engagement in collaboration with other researchers and industry, and the ability to disseminate research in different platforms. Your overall
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engineering, mathematical and programming contexts Your research will include extending and contributing to models and codes, including both high- and low-level programming languages, e.g. Python/Matlab
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prior experience in at least three of the following areas: Python programming Develop LLM-based tools to automate data connector generation for data ingestion. Design and implement a multi-layered storage