47 programming-"the"-"DAAD"-"IMPRS-ML"-"FEMTO-ST"-"P"-"BioData" "https:" positions at Technical University of Denmark in Denmark
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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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leads JWST programs and has had multiple proposals accepted from our group (GO 2420 , GO 3730 , GO 7675 ). Through international collaborations, we are also deeply involved in several other JWST programs
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cryptography (QKD, QRNG or other protocols) Representation theory Bell nonlocality and device independence Randomness extraction methods Semidefinite programming / convex optimisation for quantum
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the future of microbiome engineering through innovative research, teaching, and collaboration. Responsibilities and qualifications We are seeking a top scientist with a research program in engineering and
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the following areas: Knowledge of computer science and machine learning. Familiarity with electrical and electronic engineering. Proficiency in programming languages such as Python, C++, or MATLAB. Experience
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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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part of DTU’s Tenure Track program. Read more about the program and the recruitment process here . You can read more about career paths at DTU here . Further information Further information may be
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. Additional information about the Exoplanet Group at DTU Space can be found at http://www.exoplanets.dk , and more details about 2ES can be found at http://www.2es.dk . Responsibilities and qualifications We
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. Julios Saez-Rodriguez at the European Bioinformatics Institute (EBI) as part of ProtAIomics, a Horizon Europe MSCA Doctoral Network (https://www.protaiomics.eu/ ). In this project, we will design a
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competences across multiple (business/ economics) engineering programs. To do so, you will: Advance the research field by identifying knowledge gaps of scientific, academic, and industrial relevance, with