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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 leading technical university globally recognized for the excellence
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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 performed by Professor Kasper S. Pedersen. We
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tasks will be: Plan and manage your PhD project in collaboration with supervisors Design and develop management and real-time operation tools for ePIPV Test controlling functionality in a state-of-the art
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SQUID magnetometry or similar techniques is a strong advantage. Experience in programming, ideally using Python to the extent that you can independently write programs to control and automate measurements
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programming skills (R, Python, or Matlab), particularly regarding bioinformatic tools. In addition, you are expected to have insight into plant biomass composition, chemistry and analytics, some practical
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programming languages such as C/C++, Python, Julia or similar. Experience with mathematical optimization software. Experience with machine learning packages. Excellent communication in English and interpersonal
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, Management Science, Analytics and Data Science Knowledge of and practical experiences with programming (e.g., Python, Java, Julia, etc.) You must have a two-year master's degree (120 ECTS points) or a similar
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photonic technologies Realizing first multi-qubit photonic devices for quantum information networks Exploring new routes that bring Quantum Internet a step closer As part of the Danish Ph.D. program, you
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Confederation of Professional Associations. The allowance will be agreed upon with the relevant union. The position is part of DTU’s Tenure Track program. Read more about the program and the recruitment process
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) or a similar degree with an academic level equivalent to a two-year master's degree.[BN3] [SK4] Strong programming skills in Python and MATLAB Background in biomedical signal processing, ML, and BCIs