69 programming-"the"-"IMPRS-ML"-"U"-"Prof"-"UCL"-"IDAEA-CSIC" "https:" PhD positions in Denmark
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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 obtained from
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2026 Is the job funded through the EU Research Framework Programme? Horizon Europe - MSCA Reference Number 101226853 Marie Curie Grant Agreement Number 101226853 Is the Job related to staff position
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duration of 3 years. Applications for a 4+4 PhD programme are also welcome. The proposed starting time is spring 2026, with some room for flexibility. The appointment will be made at a competitive salary and
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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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. Further information for international applicants about entering and working in Denmark. For further information about the PhD program at the department, read here: https://sdunet.dk/en/enheder/institutter
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, skills and achievements that demonstrate the ability or potential to produce high quality research outputs and publish in journals A personal research plan which is consistent with the project Experience
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achievements that demonstrate the ability or potential to produce high quality research outputs and publish in journals. A personal research plan which is consistent with the project. Experience, skills and
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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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Programming skills in Python, R, and/or GIS tools Highly valued: Background in LiDAR point-cloud analysis and vegetation structure analysis or habitat monitoring Experience applying AI or machine learning