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or optical spectroscopy data sets E3 Some prior experience of data analysis in R, Python, JMP or similar, to create data pipelines E4 Experience of scientific writing E5 Proven ability to deliver quality
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assistants • Write scientific publications and present findings Required Qualifications • MA in computational social science, digital humanities, computer science, or related field • Python proficiency
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proposals to advance their scientific career. More information about the Department of Applied Physiology and Kinesiology can be found here: http://hhp.ufl.edu/about/departments/apk/ Expected Salary
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when there are legal requirements, such as a license, certification, and/or registration. Additional Requirements: 1. Programming & data: Python (numpy/pandas), basic R (Seurat/tidyverse), bash; Git
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experiments to understand and improve tool performance, and – most importantly – by summarizing findings in white papers and application notes. A full job description can be found here: https://mitnano.mit.edu
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. Additional Considerations Experience in education, instructional design, or workforce development; programming experience (Python, JavaScript, or similar); experience building AI applications or automations
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a closely related field with a focus on agricultural systems Solid knowledge of crop modelling and/or data-driven approaches for agricultural decision support Robust experience with Python Proven
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knowledge. Proficiency in data analytics and visualization programs such as R, Tableau, Excel, Python, Adobe Illustrator, and others as necessary. Minimum qualifications: Education: Bachelor's degree in a
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refer to https://www.uni.lu/snt-en/research-groups/sigcom/ . Your role The successful candidate will join the SIGCOM Research Group, led by Prof. Symeon Chatzinotas. This PhD project aims to develop
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advantageous Competent computer skills, including relevant scientific and analytical software (e.g., GraphPad Prism, R, Python or Jupyter Notebooks) For informal enquiries, please email Dr Patricia Centeno