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for analysis of large-scale bulk and single cell data sets Strong understanding of statistical modelling, data normalisation and machine learning methods applied to biological datasets Experience with data
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17 Nov 2025 Job Information Organisation/Company Institut de physique du globe de Paris Department Ressources humaines Research Field Other Researcher Profile Recognised Researcher (R2) Positions
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the development of custom algorithms for image or data processing, workflow automation and the interpretation of large volumes of information from optical, thermal or flow measurement systems. Participation in
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14 Nov 2025 Job Information Organisation/Company CNRS Department Institut de Minéralogie, de Physique des Matériaux et de Cosmochimie Research Field Geosciences Astronomy Environmental science
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Liquids and Interfaces team at iLM. This large team (comprising over 20 permanent faculty members, researchers, or engineers, along with more than 20 PhD students or postdoctoral researchers) focuses
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programming and scripting (e.g. R, Python, Bash) for data processing, integration and visualisation Proven experience developing and using necessary pipelines for analysis of large-scale bulk and single cell
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original research papers in leading peer-reviewed journals. Supervise and mentor MSc and PhD students, co-supervising theses and guiding laboratory work and data analysis. Requirements: Strong knowledge and
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and application of Large Language Models (LLMs), to join our team working on predictive maintenance solutions. The ideal candidate will have recently completed (or be close to completing) a PhD in
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(required) Include these in your application: A comprehensive CV detailing your publication history A copy of your PhD diploma Contact information for two referees who can provide insights into your
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Associate to work on the CMS experiment at the Large Hadron Collider (LHC). The Cornell CMS group has a broad involvement in many aspects of the experiment, from data analysis to detector operations and HL