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, access, metadata, DMPs etc) Advise researchers in R and Python for data analysis and modeling. Required Experience In developing R functions for reproducible statistical analysis Professional or academic
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experience with statistical tools (e.g. in R, MatLab, or Python) are expected. The team at DTU Aqua is highly international and knowing the Danish language is not needed. You must be available for boat-based
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English, both written and spoken. Additional programming experience is advantageous but not required: If you are not afraid to use python or R for analyzing and processing data, that’s a plus. As a formal
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: Master’s degree in Social Sciences Experience with data collection and analysis methods Strong analytical and problem-solving skills Proficiency in relevant research software (e.g., Stata, R, Python
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Job Description Are you interested to be part of the energy transition R&D? The Danish Offshore Technology Centre (DOTC), Technical University of Denmark (DTU), invites applicants for three research
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innovation ecosystem. Who you are You have an entrepreneurial mindset and might have experience with starting your own companies, or you have worked in the intersection of R&D and BD, commercializing early
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population surveys and randomized trials). Responsibilities: Utilize Python, R, and containerization (Docker, Kubernetes) to run computational analyses and automated data pipelines. Optimize data processing
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knowledge on principles of animal disease transmission and control Proficiency in statistical software (e.g., R, SAS, or similar). Creative and interested in exploring new technology and in adopting new ways
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related field Experience with Earth System or biogeochemical modelling Strong programming skills (e.g., Python, R, MATLAB) and experience with advanced machine learning modelling A strong interest in
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, you will contribute to several of the points listed below: Support R&D projects focused on functional ceramics, with an emphasis on slurry/ink preparation for shaping technologies like tape casting