5,251 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "Imperial College London" Postdoctoral research jobs
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active materials by making use of artificial molecular machines. SPRING will establish innovative concepts to elaborate (i) active (supra)molecular systems, (ii) new synthetic objects to study some
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(Research Assistant) or PhD degree (Research Associate) in computer science or a related area or equivalent experience. Familiarity with standard machine learning libraries/data analysis, specifically as
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). - Familiarity with machine learning principles and generative/classification models (PyTorch Lightning, torch, scikit-learn, etc.), as well as data/model analysis methods (PCA, t-SNE, etc.). - Proficiency in
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Description https://praca.bip.uj.edu.pl/documents/145868730/160259971/1227.1101.38.2026_assistant+professor_WCH.pdf/63041e32-f09f-45a6-8f03-01b68b1a76a3 Where to apply E-mail etat@chemia.uj.edu.pl Requirements
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for the design of sustainable organocatalysts. The project will be supervised by Dr John Ward and Professor Donna Blackmond FRS at the University of Liverpool, and Dr Alexander Ganose at Imperial College London
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working time models, including options close to full-time ( https://go.fzj.de/near-full-time ), allow you to tailor your working hours to suit your individual needs FAIR REMUNERATION: Depending on your
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support machine learning applications for analyzing electron microscopy images of nanoalloys. Model interactions between nanoalloys and carbon substrates to reflect experimental conditions, incorporating
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strongly encourage applications from candidates with diverse backgrounds, including those from groups that have been underrepresented in academia. To apply, visit https://wesleyan.wd5.myworkdayjobs.com
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provides a dynamic environment for theoretical research and interdisciplinary collaborations within this leading mathematical community. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7598
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join the group to develop AI and machine learning based software to assist clinical workflow and pre-clinical studies. Required Qualifications: Ph.D. in a physical science or engineering field Strong