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of the AI algorithms. Key duties Develop a robust framework to simulate streamflow decomposed into fast-flow and baseflow at multiple Moroccan watersheds. The candidate would have to test various fast-flow
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carried out and data is generated? Then keep reading. The Natural Products Genome Mining Section at DTU Biosustain studies multiple aspects of Actinomycete bacteria, for example their genomics, molecular
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computational workflows on a high-performance cluster. You will test hypotheses using data from multiple sources, refining your approach as needed. The role also involves close collaboration with colleagues
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in the CV. Additional optional skills and qualifications: Preference will be given to candidates with previous experience in data analysis, as well as experience in programming with Python, R, SQL, and
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presently operates multiple large HPC systems ranging from a 120k x86 CPU core general purpose system to a system explicitly designed for Artificial Intelligence and Machine Learning, and a nationally
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researcher in natural language processing and large language models to work with a team from multiple disciplines of machine learning and artificial intelligence to develop multimodal large language models
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data and storytelling into meaningful, impactful digital maps and narratives. Duties and Responsibilities · Collect, organize, and analyze quantitative and qualitative data from multiple sources
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, or Python Proficiency with statistical analysis (descriptive, regression) Intermediate to advanced skills in Microsoft Excel with ability to expand skills as needed Experience with data cleaning, database
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and, in particular, on the analysis of these test measurements and on publishing the results. Another priority in this project will be to study the capabilities of LDMX to handle pile-up (multiple
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necessary Proficiency with programming/scripting languages common in research (e.g., Python, R, Bash) Proficiency with data analytic software, and data analysis (e.g. SPSS, SmartPLS, SAS) A Ph.D. in a