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. Qualifications: Adaptability and a quick learning ability to understand diverse subjects in ecology, biodiversity, and data science. Experience with biodiversity data analysis.Experience in R and python coding
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relevant datasets using Python, MATLAB, SQL, and related analytical tools. Formulate research hypotheses, design empirical studies and experiments, and conduct robustness and validation analyses. Develop
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machine learning methods • Proficiency in transport planning software such as EMME or PTV Visum. • Programming expertise in at least one language, e.g., Python, Java, or C++. • Strong written and
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or Python) is a plus but not required Bowling Green State University is an equal opportunity employer. The University is committed to maintaining an employment and educational environment that is free from
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learning for materials discovery or quantitative image analysis, DFT calculations for catalyst design, experiences with MATLAB / Python / AutoCAD / COMSOL • Organic synthesis, polymer chemistry, synthesis
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manuscripts for international peer-reviewed journals and collaborate effectively with international research partners. Programing and data analysis skills (e.g., MATLAB, Python, R). Prior experience in in-vivo
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-scale firm-level or related datasets. Proficiency in Python and/or Stata for data management, statistical analysis, and empirical research. Experience in merging and managing large datasets from multiple
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, or an equivalent qualification; (b) strong programming skills (e.g. Python) and experience with machine learning or deep learning frameworks; and (c) good communication skills in English, and the
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knowledge of deep learning, multimodal AI models, Vision-Language-Action models, or related technologies. Proficiency in Python programming and experience with deep learning frameworks such as PyTorch
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in triaxial testing and constitutive modelling Excellent programming skills, such as Python, MATLAB, or other competent languages. A good record of publications in reputable peer-reviewed journals