50 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Mines Paris PSL" Postdoctoral scholarships
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on advanced machine learning and emulation approaches. Key responsibilities: The candidates will be expected to work on the following tasks: - Develop machine learning (ML) methodologies appropriate
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sciences.Tackling key problems in biology will require scientists trained in areas such as chemistry, physics, applied mathematics, computer science, and engineering. Proposals that include deep or machine learning
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to apply Website https://www.unilim.fr/recrutement-post-doctorant-chimie-organique-chimie-molecu… Requirements Research FieldChemistry » Organic chemistryEducation LevelPhD or equivalent Skills
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-time PCR; Experience in aptamer selection methods; Curricular experience with laboratory practice and/or evidence of professional experience in the field; Basic computer skills from a user perspective
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theoretical methods and algorithms are required. The research project aims at deriving priors for Bayesian methods from atomistic simulations and machine learning. It also offers the opportunity to work with
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(July 2027), publications, resources and documents publicly available (corpus, educational resources, public policy notices, notebooks/research websites). Where to apply Website https://www.unilim.fr
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at the Institute of Geodesy and Cartography (IGiK) in Warsaw is seeking a Specialist, PhD Student, or Postdoc to join the team under the Horizon Europe project EQUIP-G (https://cordis.europa.eu/project/id/101215427
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Research Scholarship of Post-Doctoral Research for the scientific area of Chemistry - IST/2025/BL103
cancer. Applications must be exclusively submitted on the admissions platform of the Instituto Superior Técnico at https://fenix.tecnico.ulisboa.pt/fenixedu-admissions and requires registration and
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their selected nominations to G+PS by 4:00pm on Tuesday 24 February. The CIRTA nomination form and related documents are available to UBC faculty at: https://faculty-staff.grad.ubc.ca/administration/awar d
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of this project for a one-year period (100% full-time commitment) to make a significant contribution to the implementation of machine learning (ML) algorithms. The postdoc is expected to have proven experience in