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program across Aalborg and Copenhagen campi. This includes delivering courses in teaching programming e.g. C# and Python, real-time graphics rendering, use of generative AI as well as AI application
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strong skills in the use of the analysis tools BORIS, R, and Python. Experience with international, particularly French, collaborations is considered an asset. You are fluent in spoken and written French
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battery technology research: https://www.youtube.com/watch?v=laPjbVujBKM&t=5s Electric vehicles: https://www.vttresearch.com/en/ourservices/electric-vehicles Batteries: https://www.vttresearch.com/en
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computational tools such as Python or MATLAB Excellent team player that can also work independently High degree of reliability, organizational and interpersonal skills Service oriented approach towards researches
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Programme (PEPR) Forest Resilience (FORESTT – https://www.pepr-forestt.org/ ), funded by the French Plan d'Investissement d'Avenir (PIA) France 2030. FORESTT aims to support the transition of forest socio
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multidisciplinary teams. Ability to program in high-level languages such as Python or C. The following experience will strengthen your application: Experience training others in technical methods, programming, etc
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: Will accept 48 months related experience in lieu of the Bachelor's degree for a total of 72 months experience Skills: Extensive computer programming/analysis experience in python, Matlab, R, or other
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at the interface of computational systems biology and mathematics/statistics with a strong attitude to open research software development. For more information visit http://www.fz-juelich.de/ibg/ibg-1/modsim
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skills with proficiency in Python, TensorFlow/PyTorch, and experience with containerized deployments and MLOps practices. Data Pipeline Engineering: Extensive experience with end-to-end data pipelines
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Expertise in FEM software (ABAQUS, ANSYS, SAP2000) and coding (Python/MATLAB). Professional engineering licensure (HKIE/CEng) or eligibility is a plus. Candidates for Professor or above should have