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sensing, AI-based methods and data-driven hydrological models, as well as experience in operationalising real-time hydrological systems and programming in, for example, Python. In addition, you are expected
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towards this requirement. Technical Skills or Knowledge: Proficiency in Python and other related software, such as MATLAB, R, Julia, SQL, and data analysis/optimization libraries. Preferred Competencies
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quantitative data and relevant software (Stata, R, Python, or similar) would be advantageous. This is a part-time (32% FTE, 12 hours per week) fixed-term post until 28 February 2027. The Department of Social
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SD-26109- POSTDOCTORAL RESEARCHER IN AI-BASED ENERGY MANAGEMENT OF RESILIENT MICROGRIDS WITH SECO...
our website: https://www.list.lu/ How will you contribute? You will contribute to the ENERGY-RESILIENT-UA project, which aims to support vulnerable communities in Ukraine through resilient, low-carbon
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DTU Tenure Track Researcher in Neutron Spectroscopy - Uniaxial Pressure Studies of Quantum Materi...
the physical sciences Experience with neutron spectroscopy, Experience with challenging sample environment A track record of peer-reviewed publications Programming skills in Python or Matlab The ability to work
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of relevant experience. Must have extensive expertise in computational modeling, including strong coding skills in Python. Strong statistical and mathematics background. Preferred Qualifications Merkin Bridge
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system and the mechanisms of adaptation to dietary toxins in herbivorous woodrats including the role of the microbiome. Please visit our website for more information about our research and the lab: https
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languages, including Python, C++, or Java, focusing on algorithms and data structures applied explicitly in computer vision projects Knowledge of machine learning and deep learning frameworks, including
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experimental data. • Proficiency in scientific programming and data analysis tools (e.g., Python, R, Linux/Unix environments). • Demonstrated track record of publishing scientific results in peer-reviewed
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data from textual sources Conduct data analysis using econometric and statistical tools (STATA, R, or Python). Assist in literature reviews and summarising academic research. Contribute to writing