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Science, or a related field. Demonstrated experience in image or signal processing, instrumentation data pipelines, or similar. Strong programming skills in Python, R, or MATLAB. Experience with statistical
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related field Solid understanding of machine learning, especially deep learning and transformer models Practical experience with Python and ML frameworks (e.g., PyTorch, HuggingFace, NumPy, sklearn) Basic
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) Programming skills in Stata, Python, or QGIS are a plus Familiarity with Overleaf (LaTeX) is a plus Strong organizational skills and the ability to meet deadlines Ability to work independently and as part of a
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programming skills in Python Experience with scientific Python tools such as pandas, scikit-learn, matplotlib, and Jupyter; experience with PyTorch is a plus Familiarity with microbiome data analysis
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, and sleep stages using Python Contributing to and shaping cross-species computational modeling Leading publications and presenting results at international conferences Mentoring junior researchers and
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economics Experience in working with data sets and statistical software (ideally R; alternatively, Python). Experience in working with Natural Language Processing (NLP) and/or Large Language Models (LLM
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learning and deep learning Excellent programming skills in Python Practical experience with PyTorch (preferred) and/or with TensorFlow, scikit-learn, and GitHub Experience with scientific experimentation and
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of measurement and control technology or programming skills, preferable in python First experience with modern methods of material characterization High motivation, initiative, creativity, and ability to work in a
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programming skills in Python and experience in developing and documenting reproducible research code (e.g. using PyTorch or comparable frameworks). Practical experience with AI-assisted development and coding
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to work on policy instruments for climate change mitigation knowledge of R and/or Python for conducting econometric analysis or text analysis (or an interest in learning) high diligence and strong attention