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in Python (R and Matlab); • Familiarity with large-scale data processing and cloud computing (Google Earth Engine, BDC, AWS). Application: Send a cover letter (1 page), updated CV, and two references
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. Proficiency in Python, MATLAB, or R. Strong quantitative and analytic skills. Preferred Qualifications Experience with evidence-accumulation models (DDM, sequential sampling, Bayesian models). Experience with
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) Proficiency in relevant analytical tools and programming languages (e.g., R, Python) Prior experience of writing and publishing papers on a relevant topic The candidate will join an interdisciplinary team
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computer language (Python or related) hands-on experience with instrumentation development excellent oral and written English skills collaborative mindset Skills and knowledge considered as assets: working
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the research. As a member of GEAR Center, the postdoctoral associate will be considered a Hock Tan Fellow. REQUIRED: Ph.D. in computer science or related technical or engineering field; experience with Python
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, Python or similar). Familiarity with AI-based or image-analysis research in medicine or ophthalmology. Interest in diabetes-related eye disease, AMD, and/or population-based ophthalmology research. Prior
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well as time-resolved spectroscopy. Basic programming skills are welcome as the facility is currently implemented with Python. The postdoctoral researcher will work in the Materials and Light Department
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-linear systems of ordinary differential equations and the proficient use statistical programming languages (R, Julia or Python), Bash computing and the development of computational packages are essential
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ML models and Python programming. Work Objectives: The main objective of this position is to develop, implement, and validate advanced machine learning methodologies within the scope of the project
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physics, mathematics, and statistical/AI approaches. • Proficiency in programming (mainly Fortran, Python) and the Linux/Unix environment. • Experience in high-performance computing and large datasets