33 parallel-programming-"DIFFER"-"Mohammed-VI-Polytechnic-University" Postdoctoral positions at Aarhus University in Denmark
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modelling will focus on integrating the nitrogen cycle and GHG fluxes at the field and farm scales, thereby improving our understanding of how different management practices influence the landscape. Your work
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controversy and issue mapping, visualizes the similarities and differences of what issues are analyzed as risks and what methods are employed in the analyses. The map constitutes the backdrop for deeper
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center to correlate molecular structure of the surface of aerosols and water droplets under different conditions with aerosol properties and cloud impact. Eventually, the aim will be to understand how
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machine learning methods, including symbolic regression and neural networks. You will apply the algorithms to the discovery of new models in different fields, including robotic control, fluid mechanics and
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particular with Large Language Models. Solid programming expertise in Python. Be the main author in at least one journal publication in the area of AI4SE, published at a high impact journal. Experience with
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multidisciplinary team environment. Further, we will prefer candidates with some of the following qualifications: Solid background in programming using Python (PyTorch, TensorFlow), R or other languages. Experience
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passionate about hydrology, environmental modelling, and working across disciplines, this position offers a unique opportunity to make a real-world difference! Expected start date and duration of employment
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to collaborate in a vibrant interdisciplinary team, this is your chance to make a real-world difference! Expected start date and duration of employment This is a 1-year position from September 1, 2025, or as soon
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research, operations management, supply chain management, business data science and business intelligence Different job packages can be offered including fixed-term postdoc and assistant professorships up
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, animals, humans, and the environment. We want to make a difference by contributing to both fundamental knowledge generation and the attainment of sustainable production systems via innovative research