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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 7 hours ago
statistical or scripting language such as R or Python. Demonstrated ability to work independently and to adapt, optimize, and troubleshoot experimental protocols, and to critically analyze and interpret complex
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 7 hours ago
a high degree of independence. Experience mentoring or training junior researchers is required. Proficiency with MATLAB and/or Python is required. Preferred Qualifications, Competencies, and
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computing, obtained within a maximum of 7 years; application of machine learning and deep learning methods to remote sensing images; proficiency in programming (R, Python, or similar); ability to work
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development Qualifications PhD degree in Bioinformatics, Computational Biology, Computer Science, Mathematics, Physics, or a related field Strong experience with programming in Python, R, or similar languages
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analyze multi-omic data provided by our collaborative partners and interpret the results from a biologically relevant perspective. Planned activities include Python code development, the analysis and
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learning or a related field experience in the development of machine learning models using Python and pytorch expertise in two or more of the following technical areas: implementation of signal processing
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https://medicine.ecu.edu/data-analysis-strategy/ Advertising Department ACADEMIC AFFAIRS-BSOM Division ECU Health/BSOM Classification Title Specialist Working Title Education Analytics Specialist Number
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collaboratively in an international research environment Preferred qualifications: Proficiency with a relevant data-analysis environment, preferably Python or R, and SPSS Background in comparative higher education
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, with possibility to extend Appointment Start Date: Flexible (rolling review of applications) Group or Departmental Website: http://pollacklab.stanford.edu(link is external) How to Submit Application
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related to modeling and simulation of biological systems, 3) very good IT skills, in particular the ability to program in Python, 4) very good knowledge of machine learning methods, neural networks, and