499 programming-"the"-"DAAD"-"EURAXESS"-"IMPRS-ML"-"UCL"-"IDAEA-CSIC" positions in Denmark
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School of Technical Sciences, Aarhus University, Denmark, within the Quantitative Genetics and Genomics programme. The position is available from 01 January 2026 or later. You can submit your application
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that integrates novel innovative research programs towards the green transition in animal agriculture. The position is for 2 years of employment, and there are possibilities for extension to a maximum of 4 years
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, numerical simulation, and experimental methods hold equal weight. Selected candidates will be expected to Create a research program that is innovative and has global significance. Build collaborative efforts
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decision-support or safety-critical systems. Knowledge of Cyber-Physical Systems, Sensor Fusion, or Risk Management is an advantage. Excellent programming skills (Python, C++, or similar). Ability to work in
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qualifications include: Experience with traditional Intelligence analysis tools. Good programming skills in Python, or similar. Curiosity and interest in Agent-based Modelling, Simulation, and Computational Social
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assistant, you are currently enrolled in an educational program (i.e. an active student), preferably with at least 2 years of study left. We encourage students from any field of study to apply, provided
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explored using scientific machine leaning. Machine learning, programming experience and a curious mind-set You are fascinated by how computers can learn from data and you have a strong interest in the
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Ability to work independently, to plan and carry out complicated tasks, and to be a part of a large, dynamic group. Good communication skills in English, both written and spoken. Willingness to collaborate
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and applying new skills. Experience with programming in Python and a working knowledge of statistics It would further be beneficial if you have some of the following skills: Hands-on experience with
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have to: Participate in formal pedagogical training program for assistant professors. Participate in annual evaluations and a mid-track appraisal. After no more than six years of employment and on