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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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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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. 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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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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Redaction. Scripting & Automation: Ansible, Python. **This position offers a hybrid work schedule at the discretion of management (NOT a fully remote option). Closing Statement Boston College offers a broad
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solutions. For more information about DHS visit: https://www.dhs.gov/mission. Project The DA-TC is seeking candidates who have the academic background to engage in the following projects. Projects will be
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., proficiency in R, Python, ArcGIS) • Knowledge of forest and peatland biodiversity • Fluency in written and spoken English If you are proactive, committed, and efficient, you might be the ideal candidate. You
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expectations of the applicant We are looking for candidates who demonstrate: A solid background in remote sensing Strong computer and software skills, including proficiency in R, Python, and ArcGIS Knowledge
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 8 days ago
https://jobs.inria.fr/public/classic/en/offres/2026-09710 Requirements Skills/Qualifications Profile. We are looking for a candidate with: - M.Sc in Computer Science, Statistics, or related fields
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: RNPUs, Nature 577, 341-345, 2020 . In this PhD project you will work on applying RNPU networks for solving computational problems that are considered hard. Where to apply Website https