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Systems, Differential Geometry and/or Information Theory. Excellent academic credentials. Experience with programming languages (such as Python, Julia, Matlab, C/C++, etc.). Strong knowledge and interest in
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programming (Python) and Linux skills is a must Knowledge in plant biology or single-cell genomics is a plus You have good communication skills, are a team player, and are proficient in English We offer a 3
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analysis and handling omics' datasets - genomics transcriptomics, and proteomics Proficiency in R, Python, and other programming languages Expertise in Linux, Git, Docker, and other high-performance
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confidence and a proven track record using common coding languages (e.g., Python, Matlab, Fortran) expertise and a publication track record in numerical geoscience modelling, such as, but not limited to plate
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Electrical Engineering, Computer Science, or a related field Strong background in speech processing, signal processing or machine learning Proficiency in Python and deep learning frameworks Experience with far
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Systems, Differential Geometry and/or Information Theory. Excellent academic credentials. Experience with programming languages (such as Python, Julia, Matlab, C/C++, etc.). Strong knowledge and interest in
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downconversion layer Analysis of data using software tools such as MATLAB, Python, or Origin. The candidate must be familiar with materials studio software and any other materials modeling software. Experience in
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, Ductility, Yield strength, and strain A proven track record of conducting independent scientific research with Creative and independent problem-solving skills Programming experience in Python and/or C
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with bioinformatics tools and analyses. • Experience with electrophysiology and proficiency in MATLAB/Python/R models of auditory and vestibular diseases. FLSA Exempt Full Time/Part Time Full Time Number
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 17 days ago
training and experience in toxicology, pharmacokinetics, transport modelling, and/or gene-environment interaction studies would be beneficial but not required. Prior training and experience with R or Python