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analytical and quantitative skills, including statistical programming (e.g., R, Python, or similar). Knowledge of causal inference methods and/or comparative risk assessment approaches. Familiarity with
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interested in mentoring and supporting MSc and PhD students. You are a machine learning enthusiast (and realist). You love coding and have proven experience in e.g. Python, Matlab, JAVA, C#. You can present
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engineering, or a related field, with strong skills in mathematical optimization and modelling (ideally in Python) and an interest in sustainable urban mobility. Job requirements PhD in OR and other related
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-field fracture modelling, contact and micromechanics of particulate or composite materials, mechanical testing and X-ray tomography, and programming (e.g. Python, C++ or Fortran). An innovative mindset
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
Experience Strong background in machine learning, deep learning, or related AI techniques. Proficiency in Python and at least one major deep learning framework (e.g., PyTorch, TensorFlow). Evidence of research
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. Python, Julia, C++, R); experience with sequencing (NGS) data, geometry or graph algorithms, statistical inference or machine learning; error-correcting codes or information theory; molecular modelling
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. Qualifications Completed or soon-to-be-completed PhD in Data Science, Network Science, Computational Social Science or related fields. Solid knowledge in network and Data Science, programming in Python or R, and
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under limited supervision, • Ability to produce outcomes under strict deadlines, • Experience using Illumina sequencing, and, • Knowledge and skills in Python/MatLab for image processing, programming, and
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. Performs advanced signal processing and time–frequency analyses of neural recordings. Develops and implements computational pipelines using MATLAB, Python, or similar platforms. Leads manuscript preparation
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working knowledge in Python What you will do You will develop a microfluidics system which will be employed at small angle scattering beamlines at the ESS to study nanoparticle structures and interactions