11 learning-"https:" "https:" "https:" "https:" "https:" "https:" "https:" research jobs at Aarhus University
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-time data into WRF-Chem • You will be contributing to the development of machine learning models used on data from Poleno Jupiters, applying Python and machine learning. • The position will focus
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degree programs within animal science and veterinary medicine. We offer a lively, engaged and innovative learning and study environment, which is closely integrated in the research environment. Our
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, master’s and PhD degree programs within animal science and veterinary medicine. We offer a lively, engaged and innovative learning and study environment, which is closely integrated in the research
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about the project here https://www.planttip.dk/ In this already ongoing project, we are now moving into the phase of building the model, using available knowledge, data, and theories on consumer
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for: We are looking for someone who is structured and dependable. You find enjoyment in working with data, learning new techniques, and applying them in rigorous ways. Ideally, you are at the end of
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Bachelor’s degree in physics, computer science, computational biology, or similar fields. The applicant is expected to have demonstrated experience working with state-of-the-art deep learning approaches
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7, 8000 Aarhus C. Read more about the ABIS Project here: https://www.sdu.dk/da/nyheder/nnf_bevilling_dannelsesbegreb The position The position contributes to the theoretical and innovative work of
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platforms geospatial data analysis and use of GIS software (e.g. QGIS) and cloud-based geospatial analysis platforms such as Google Earth Engine statistical modelling, machine learning, cloud/high-performance
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immersive virtual/augmented/extended (VR/AR/XR) environments to support learning of scientific concepts and practices at the university-level. The main aim of this work package is to investigate how such
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collaborate effectively within the team, and proactive working style are essential. The candidate should be motivated, open to learning new techniques, and capable of driving their part of the