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, including electrical engineering, control theory, industrial engineering, electronics engineering, energy policy, data science, and applied mathematics. As part of the Alliance program, your project will be
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. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment of the applicants will be made by Prof
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solid background in analytical chemistry, spectroscopy, medical devices, sensors, bioanalysis, and if possible large data analysis. You are highly independent, self-motivated and enjoy collaboration in a
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modern versions of OpenGL and GLSL Experience with databases and/or IoT protocols / Big Data In addition, it is expected that you fulfill the following: work independently and to efficiently deliver
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code, combined with advances in automation, analytics and data science, has fundamentally changed the scope and ambition of harnessing the potential of biological systems. Big data approaches and
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universities, and three research and technology organizations. This PhD project is focused on glass cutting, where large, laminated glass panels are cut to sizes for window production. The process involves pre
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landmark database on university deep tech startups, carry out independent, high-quality research leveraging this data, and engage with stakeholders in the Danish and international deep tech arena
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opportunity to be part of large-scale experiments tackling pressing societal challenges. You'll be involved in every stage of the research process—from experimental design to data analysis and publication—while
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Job Description Do you crave developing high performing electrocatalysts for anion exchange membrane electrolysis (AEMEL), to accelerate the large scale implementation of green hydrogen? Do you