57 parallel-programming-"EURAXESS" PhD scholarships at Technical University of Denmark
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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 for the PhD
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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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applying new skills.[HS1] [PN2] It would further be beneficial if you have some of the following skills: Prior experience with mass spectrometry, proteomics, or microfluidics. Experience with programming
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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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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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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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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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, 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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) 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
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at DTU Compute, including teaching and supervision activities We are looking for you who have: Solid knowledge of process mining, continual learning, or cybersecurity Strong analytical and programming