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Field
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demand forecasting or behavior modeling Computing & Data Systems Cloud computing (AWS, Azure, GCP) Big data pipelines, distributed computing, and geospatial data processing Python, R, SQL/NoSQL
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., proficiency in Python, PyTorch, OpenCV) and experience in deep learning model optimization and familiarity with AI model deployment are required. Candidates with experience in quantitative CT algorithms
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profile with advanced skills in: - Numerical programming in Fortran, C, or C++, and Python, - Spectral methods using Fast Fourier Transform (FFT), - Code debugging. He should have a keen interest in
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in English, · Scientific publications in Web of Science–indexed journals in the field of cognitive neuroscience, · Programming skills in R, Python, and JavaScript for behavioral modeling, as
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Biology, Data Science, or a related field. Technical Proficiency: Strong command of R. Knowledge of Python is an asset. Multi-Omics Expertise: Proven experience in the analysis and integration of diverse
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Longitudinal neuroimaging analysis Programming in Python, R, and/or MATLAB Reproducible research practices and Git-based version control Preferred technical depth Neuroimaging software: FSL, FreeSurfer, ANTs
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experimental animals Experience implementing and optimizing eye tracking, body tracking, and/or visual reality environments Proficiency in Python and scientific computing libraries Familiarity with spike sorting
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experience, preferably in Python or R, and experience in the Linux environment Solid publication record in peer-reviewed journals. Proficient in verbal and written English. Excellent teamwork
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., MATLAB, Python) is required. Experience with machine learning is highly preferred. Ability to work independently and as part of a team. Key Requirements for PhD: Hold a Bachelor's degree with outstanding
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, Statistics, Genetics, Computer Science, or a related field. Excellent communications skills in English (both verbal and written). Proficiency in using R/Bioconductor and Perl/Python for genomic data analysis