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Field
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, blockchain, market, and other relevant datasets using Python, MATLAB, SQL, and related analytical tools. Formulate research hypotheses, design empirical studies and experiments, and conduct
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methods to biological systems Proficiency in Python programming Excellent written and verbal communication skills First-author peer-reviewed publication(s) Desired Qualifications Experience
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statistical and data-analysis skills, including R/Python and large ecological or environmental datasets. Experience with photoquadrat, photogrammetry and/or Agisoft Metashape is highly desirable. Excellent
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ultrasound, wearable and accelerometry-derived loading or physical activity analytics, gait biomechanics, or circulating biomarker analysis. Programming proficiency in R, Python, or MATLAB. Experience with
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learning, or spatiotemporal analysis. Strong programming skills in Python and/or R; experience with STATA, MATLAB, or SQL is advantageous. Experience with aviation, airport, airspace, flight trajectory, or
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seismic datasets, including signal processing, imaging, inversion, or source characterization, is highly desirable. Proficiency in Python, C++, or Julia, with strong numerical modeling, data analysis
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programming with Python, PyTorch, LLM APIs and similar frameworks Ability to process large-scale datasets, clean data, and apply statistical tools (like Pandas, R or SQL) to evaluate simulation results, e.g
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Bash, R and Python scripting. Possess excellent quantitative, analytical, organisation skills, and basic experimental skills (e.g. PCR, NGS) Self-motived, able to work effectively and efficiently
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Supervisor. Requirements PhD in Computer Science or related field Expertise in computer vision and vision-language models Experience with ML evaluation metrics and benchmarking Proficiency in Python and deep
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; • Programming skills in Python are desirable, especially experience with numerical experiments, machine learning libraries, or reinforcement learning environments; • Good written and oral