90 programming-"the"-"DAAD"-"EURAXESS"-"U"-"UCL"-"RAEGE-Az"-"PDI-Service" PhD positions at Technical University of Denmark in Denmark
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for experimental research and data analysis. Excellent written and oral communication skills in English are prerequisites. Additionally, experience with programming and/or mathematical modelling is an advantage. Due
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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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to contribute to a positive research environment in our lab are essential. Documented experience in electrochemistry is required, and additional skills in materials synthesis, spectroscopy, or programming will be
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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 . Assessment
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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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the research group Bioactives Analysis and Applications, and as part of the prestigious Alliance PhD program, you will collaborate with the Technical University of Munich (Germany). If you're ready to
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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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Research Framework Programme? Horizon Europe - MSCA Reference Number DC6 Marie Curie Grant Agreement Number 101225914 Is the Job related to staff position within a Research Infrastructure? No Offer
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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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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