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PhD scholarship in Corrosion Mechanisms of Power Semiconductor Device and Components - DTU Construct
layers within the semiconductor packages. This PhD project is part of Center for Climate Robust Electronic Design project funded by Poul Due Jensens Foundation, Denmark. The PhD position also provides
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statistics. Advanced programming skills. Advanced verbal and written communication skills (fluency in English is required). Desirable: Fluency in Python. Experience with algorithm design, machine learning and
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strong interest in aluminum alloys, fatigue analysis, and numerical modelling is preferred. Experience with computer aided design and engineering (CAE, e.g., Abaqus, Ansys) software tools commonly used in
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(PFAS). You will gain hands-on experience with advanced analytical tools, reactor design, and reaction kinetics, skills that will prepare you for a future career in academia, research, or the water
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ensuring competitiveness, sustainability, and innovation. By joining us, you will gain the tools to develop data- driven, modular approaches to maintenance, collaborate with leading companies, and position
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that an exchange research stay should be performed there. Principal supervisor Professor Christian Adam Olsen, Department of Drug Design and Pharmacology Start 1 March 2026 Duration 3 years as a PhD student Our
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algorithm design, machine learning and data analysis. Experience with the analysis of biological data is a plus. NOTES (on eligibility): (i) MSc candidates about to complete will also be considered and should
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); specialization in digital twins and software engineering of control systems (PhD#3). Experience with swarm robotic systems, manipulator design, cyber-physical systems, SIMULINK, and robotic software development
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DTU Tenure Track Researcher in Low-Noise Supercontinuum Lasers and Supercontinuum Laser based Opt...
, based on gas-filled hollow-core fibers, silica and soft-glass fibers, such as fluoride and chalcogenide fibers, that we make in-house. Specifically you will design, develop, and characterize low-noise
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doctoral candidate who meets the following requirements: A background and strong interest in aluminum alloys, fatigue analysis, and numerical modelling is preferred. Experience with computer aided design and