185 programming-language-"St"-"University-of-St"-"St"-"FEMTO-ST" positions at Technical University of Denmark
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scanning program and a post-processing program. The software architecture and programming approach for a suitable implementation in a clinical scanner must be described during the project. The clinical
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footprint. This PhD is embedded in the Clean-Energy Transition Partnership “La-Flex ” with Norwegian, German and Danish companies and research institutions. A research stay at NTNU (Trondheim, Norway) is
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to those obtained by holding an assistant professorship and documented didactic/pedagogic training. You must be responsible for the teaching of courses. DTU employs two working languages: Danish and English
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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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. Enthusiasm, responsibility, and excellent collaboration skills. Keen on generating high-quality data. Strong oral and written skills in English. Experience working in biological systems. Specific
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equivalent). Other qualifications and competences include: Experience with bioinformatics Experience with mathematical modelling and programming, including source attribution modelling of foodborne pathogens
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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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: Develop your own PhD plan outlining experimental trials. Design and conduct in vivo trials with salmonids. Collect biological samples and observational data from lab-based studies and at real fish farming
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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