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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
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Strong experience in machine learning and/or deep learning, ideally with sequence models (e.g. CNNs, transformers) applied to genomic data Proficiency in Python and common ML frameworks (e.g. PyTorch
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: Programming skills in MATLAB, python Spatial Multi-omic Image analysis skills. Special Instructions to Applicants: For full consideration, applications must be submitted online. Click on Apply Now at the top of
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computer science, mathematics, computer engineering, or relevant technical field First-author peer-reviewed published papers (or under review) Proficient programming experience in Python and libraries (e.g., Pytorch
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
? Experience with collaborative programming in GitHub using Python ? Ability to work with a geographically distributed team Preferred Qualifications, Competencies, and Experience ? PhD in any STEM
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scientific-computing environments, such as Python, MATLAB, Julia, C/C++, or comparable tools. Interest in connecting theory and computation with experiments, materials, structures, or multiphysics when
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, bioinformatics, systems biology, computer science or related field Strong proficiency in Python and/or R Experience in single cell omics analysis and multiomics data interpretation Ability to work independently