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that the candidate will learn to perform rigorous and relevant research using a combination of quantitative and qualitative research methods and extend collaborations with key academic and industrial partners at both
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, and Altium; has good experience in PCB schematic and layout, and making laboratory prototypes, debugging, and testing power electronic circuits; is target-oriented, structured thinking, eager to learn
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Senior Researcher in Synthetic Biology and Metabolic Engineering of power-to-X utilizing Microorg...
/ ) Teaching portfolio including documentation of teaching experience Academic Diplomas (MSc/PhD) You can learn more about the recruitment process here . Applications received after the deadline will not be
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Denmark and internationally Write academic papers aimed at high-impact journals Participate in international academic conferences and workshops Disseminate research results and teach as part of the overall
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equal gender distribution. We are located in Lyngby, Hirtshals, Nykøbing Mors, and Silkeborg and have regular activities in Greenland. Learn more on aqua.dtu.dk Technology for people DTU develops
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with society. Whether our contributions come in the form of excellent research, innovative solutions, education or learning, we must make a positive difference to society and contribute to a sustainable
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, for static and dynamic measurements and reliability measurements). Key Responsibilities Research & Learning: Develop expertise in GaN device physics and wide-bandgap semiconductor technology. Simulation
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applicable technology-based learning experiences for the Danish and German primary and secondary school. This, with a close cooperation with IPN Leibniz-Institute in Flensburg among other external partners
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policymaking. CBS LAW is a unit under the Department of Business Humanities and Law (BHL) where there are two other units: Entrepreneurship, Ethics and Leadership; and Governance, Culture and Learning. The three
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learn to write scientific papers. Research area and project description In the ERC-funded project DECIDE we aim at developing a new generation of heuristic and exact methods for two-stage stochastic