45 programming-"the"-"DAAD"-"UCL"-"U"-"SciLifeLab"-"IMPRS-ML"-"CSIRO" "https:" positions at Technical University of Denmark
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of cutting-edge observing programs. The position also encompasses high-quality teaching, supervision at all academic levels, and active participation in outreach initiatives that strengthen the department’s
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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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solid understanding of energy system technologies and economics is also required. Additionally, experience with other programming languages, open-source software development, project management using
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Authority ), and a competitive salary. Starting date according to mutual agreement. The position is a full-time position. The Assistant Professor position is part of DTU’s Tenure Track programme. Read more
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in glaciology, Geodesy, Earth sciences, remote sensing, or a related field. Strong skills in data analysis, programming, and handling large geospatial datasets are essential. Experience with satellite
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information may be obtained from Professor and Head of Section Wenjing (Angela) Zhang (wenz@dtu.dk ), tel.: +45 2035 2356. You can read more about DTU Sustain at https://sustain.dtu.dk/ If you are applying from
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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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Confederation of Professional Associations. The allowance will be agreed upon with the relevant union. The position is part of DTU’s Tenure Track program. Read more about the program and the recruitment process
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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