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University of California, Los Angeles | Los Angeles, California | United States | about 2 months ago
programming (MATLAB, C++, Python, R, etc.) • Experience with MR physics and/or pulse sequence programming (Siemens or Bruker platforms) is preferred but not required • Experience with machine learning
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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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University of Massachusetts Chan Medical School | Worcester, Massachusetts | United States | about 2 months ago
Biology, Bioinformatics, Systems Biology, and Statistical Genetics. • Proficiency in at least one programming language such as Python, R, Julia, C/C++, and Matlab. • Strong interest in network science
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studies. Strong background in AI/ML fundamentals and extensive experience with deep learning (DL) methods. Demonstrated proficiency in Python and machine learning frameworks (e.g., PyTorch, Jax, scikit
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Engagement with Industry Partners and Scientific Community – 10% Requirements Ph.D. in Atmospheric Sciences, Climate Science, or related field. Proficiency in scientific programming (Python, R, MATLAB
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optical setups independently. • Strong programming skills for data acquisition, control, and analysis (LabVIEW, Python, MATLAB). • Excellent oral and written communication skills; ability to present results
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Robotic Systems. Proficient programming experience in embedded, real-time software in C/C++ and Python with several years of practice. Experience in maintaining high-quality code on Github. Ability
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, or modeling using tools such as Python, R, GIS, or similar computational platforms. Demonstrated ability to collaborate across disciplines and translate technical and social science insights into scholarly
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sensing, quantum information science, superconducting circuit, or magnonics. Proficiency in scientific software development (e.g., Python, COMSOL, HFSS or similar languages). Ability to model Argonne’s core
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of education materials). Required Qualifications: PhD in Biostatistics, Computer Science, Bioinformatics, Statistics, Mathematics or related field. Preferred: Proficient in R/Python. Prior experience in genetic