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Field
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analysis, for example with Python or Matlab. Consideration will also be given to how the applicant’s experience and skills complement and strengthen ongoing research within the department, and how they stand
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languages such as Python or R. Experience with machine learning, systems biology, or network modeling approaches. Previous expertise in human cardiometabolic or complex diseases, with domain expertise in but
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). Conduct in vivo optical imaging experiments on healthy volunteers and patients; Develop image-analysis pipelines (Python, MATLAB) and model functional optical signals; Optimize and maintain the AO-RSO
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(Fortran, Python, etc.) with Linux ; - good knowledge of land surface models like ISBA and interest in learning to use permaFOAM - interest for physical and biogeochemical processes in permafrost soils
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transportation research. Technical skills: Python programming; simulation. Domain knowledge: Decarbonization modeling, life-cycle assessment, battery-electric vehicle technologies; mining operations experience is
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.). Proficiency in programming languages such as Python, and experience with deep learning frameworks like TensorFlow, PyTorch, or JAX. In-depth understanding of transformer architectures, attention mechanisms, and
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Python, R, or MATLAB. Solid understanding of battery systems, electrochemical processes, or energy management. Preferred Skills: Experience with time-series analysis, predictive modeling, and anomaly
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design and very good programming skills (Python, Pytorch). Excellent command of IT tools and perfect command of AI and Data Science tools. Profile required: PhD in computer science, specializing in AI and
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hydrological modeling at catchment scale, and familiarity with modeling tools. Proficient in statistical analysis and programming languages such as Python, R, or MATLAB. Strong written and verbal communication
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the use of bioinformatics tools for metagenomic and transcriptomic data analysis (e.g., QIIME, DADA2, R, Python). Demonstrated ability to independently design and conduct experiments, analyze data, and