548 coding-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Helmholtz-Zentrum-Umweltforschung" positions in United Kingdom
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of funds Set up and maintain project codes, student codes, workpackages, and purchase orders for Training Grant consortia Compliance & Data Management Provide guidance on funder financial rules and budgetary
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Code of Conduct. At Durham we actively work towards providing an environment where our staff and students can study, work and live in a community which is supportive and inclusive. We welcome and
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experience with coding, e.g. MATLAB or LabVIEW, would be beneficial. Familiarity with multiphysics simulation tools is desirable. Evidence of creative thinking and the ability to work independently. Industry
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strategies and levels of fidelity. By the end of the project, the student will demonstrate the integration of ML-based boundary layer models within an open-source finite volume CFD code and quantify
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developmental biology The ability to code in multiple languages, for the purpose of generating user-friendly image analysis and visualisation workflows, and collaborative software development. Experience with a
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evaluating predictive time series models and using R to manage, analyse and visualise data including developing re-usable code in collaborative projects using platforms such as Github is also essential
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imaging and airflow modelling colleagues to combine molecular and anatomical simulation frameworks Delivering open-source tools, reproducible code and high-quality publications Presenting findings
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frameworks, and supporting project teams to prepare datasets, code, and evaluation protocols. The role offers variety and opportunities to shape national-scale open research infrastructure. You will be part of
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feed into a larger scientific endeavour. Good mathematical and communication skills are essential. In addition, the applicant should have good coding skills in Python or Mathematica, and/or the desire
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statement from your supervisor committing to support your finalization phase Compliance with the CoBeNe regulations for PhD candidates (agreement to the Code of Good Practice, FÖP within the first 2 semester