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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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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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analysis using a software platform such as R, Python, MATLAB, STATA, SAS, or others. Proficiency in energy modeling/simulation and cost estimating using such platforms as DesignBuilder and EnergyPlus and
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Python, PySpark, and machine learning frameworks (e.g., PyTorch) Desired: expertise in working with social media data, metadata, and web standards Ability to communicate fluently in English; basic
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datasets. 1-3 years of experience with crop modeling using gridded datasets Preferred qualifications Strong programming skills in scientific computing languages (e.g., Python, IDL, R, MATLAB, or similar
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reviews to guide experiment design and identifying emerging methodologies. Processing and analyzing large experimental datasets using scientific computing tools (Python/Matlab). Maintaining laboratory
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spectroscopy Should have working knowledge of optics, electronics, 3D experimental design (e.g., CAD) and coding languages (e.g., Python) Should be willing to train users of spectroscopic and experimental
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the guidance of PWBM team leader and PWBM’s Faculty Director, contribute to research and the development of models for policy and economic analysis in Python and R. Utilize programming skills (including Python
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the Coastal Marine Applied Research (CMAR) consultancy https://www.plymouth.ac.uk/research/cmar within the Coastal Processes Research Group (CPRG). The group specialise in collecting coastal field data in