16 programming-"the"-"DAAD"-"IMPRS-ML"-"FEMTO-ST"-"U.S"-"Prof" "https:" PhD positions at Technical University of Denmark
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offered within the Marie Skłodowska-Curie QuNEST – Quantum Enhanced Optical Communication Network Security doctoral training program (https://qunest.eu ) and the Villum Investigator Program: Power-Efficient
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programme, please see DTU's rules for the PhD education . Assessment The assessment of the applicants will be made by Kristoffer Almdal and Søren Kramer. We offer DTU is a leading technical university
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mandatory: Experience with bioinformatics including NGS (Nanopore, Illumina, PacBio) Experience with automation and coding in Python or other programing languages Experience with protein software tools like
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, visit: www.algoritmer.org . The candidate will conduct teaching as part of the ph.d. programme. You must have a two-year master's degree (120 ECTS points) or a similar degree with an academic level
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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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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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. 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 The assessment of the applicants will be made through
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) Programming experience (e.g., Python, Julia) Strong analytical thinking and problem-solving abilities Interest in power and energy systems Excellent English communication skills and a collaborative mindset to
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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
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are looking for candidates who have experience with developing AI or machine learning models, as well as bacterial sequence analysis. You should be familiar with relevant programming languages such as Python