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Python or C/C++. The candidate should have an interest in developing novel bivariate methods in machine learning for molecular property prediction within an interdisciplinary application. Ideally
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other duties, as assigned. The full job description is available here: https://acrobat.adobe.com/id/urn:aaid:sc:VA6C2:40ff42f3-0fb1-480f-a67b-9c772edfe63f Job Requirements REQUIRED: Bachelor’s degree in
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frame extraction, and content block classification. Where to apply Website https://www.uniovi.es/conocenos/rrhh/convocatorias/investigacion Requirements Research FieldComputer scienceEducation
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: Proficient with mass spectrometry, quantitative proteomics, cell surface proteomics, concepts of automated sample preparation, scripting with R and/or Python. Preferred Education: Master's degree If any degree
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, Mechanical Engineering, Computer Science, or any other related field. Strong background in control engineering and systems theory. High proficiency in programming (C, C++, Python, Julia, or Matlab). High
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, Computer Science, or any other related field. Strong background in control engineering and systems theory. High proficiency in programming (C, C++, Python, Julia, or Matlab). High proficiency in English
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, applications, tools, and services for the broader research community to use data at scale to pursue scientific inquiry and accelerate discovery. Learn more at https://gdc.cancer.gov/, https://gen3.org/, https
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family. Please see website for additional information: https://medschool.cuanschutz.edu/psychiatry/PatientCare/colorado-center-for-women's-behavioral-health-wellness Why work for the University? We have
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, machine learning and computer vision techniques, statistical data analysis, and Python programming. Activities will include field calibration and validation of models and data integration into a decision
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learning, deep learning, and statistical inference Experience with frameworks such as TensorFlow, PyTorch or Keras Experience with programming languages such as Python Full command of English (English level