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criteria: Knowledge in plasma physics, tomography and inverse problems, or computational physics, or preferably several of these fields Knowledge of programming Communication skills You must have a two-year
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in data analysis with proven experience with programming in Python Be skilled in experimental work Approval and Enrolment The scholarship for the PhD degree is subject to academic approval, and the
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experience in complex research, innovation, or international development environments from academia or the private sector. You have demonstrated experience managing multi-stakeholder research programs within
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experience in the following areas: Knowledge of computer science and machine learning. Familiarity with electrical and electronic engineering. Proficiency in programming languages such as Python, C++
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research assistant in our ferroelectric thin-film program, you will gain hands-on experience with advanced deposition, laser processing, and nanoscale characterization while contributing to groundbreaking Fe
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academic approval, and the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme
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candidate will be enrolled 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
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governed by elastic instabilities. This project aims to elucidate this connection through carefully designed experiments on programmed microstructures, synthesized by additive manufacturing, and the
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characterization of photonic devices. Desired qualifications: Theoretical understanding of photonic integrated circuits. Experience with numerical modeling. Experience with Python programming. Additionally, we
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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 offer DTU is a