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- VIGOCountrySpainGeofield Contact State/Province Pontevedra (Galicia) City Vigo Website https://www.uvigo.gal/ Street Campus universitario, s/n Postal Code 36310 E-Mail estranxeiros@uvigo.gal STATUS: EXPIRED X (formerly
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sciencesMedical sciences Additional Information Website for additional job details https://www.muni.cz/en/about-us/careers/vacancies/80305 Work Location(s) Number of offers available1Company/InstituteMasaryk
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troubleshooting, security, network system administration, and/or networking products and services. Work includes the design, review of internal and external infrastructure requirements, technology evaluation
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of hormonal regulation of gene regulatory networks to predict mechanisms underlying stem cell patterning and plasticity in the shoot stem cell niche. A hybrid modelling approach integrating the dynamics of a
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a Research Infrastructure? No Offer Description This position is part of HEPARD MSCA European funded doctoral network (https://cordis.europa.eu/project/id/101226455 ). The project is training early
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emphasis on problems in chemical engineering and computational rheology. Task 1 - Review of the state of the art on physics-informed neural networks (PINNs) and neural operators for solving systems
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well as the selection methodology see https://biotransform-msca.eu/open-position-doctoral-candidate-11/ Women are explicitly encouraged to apply to increase their share in science and research
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methods for their bottlenecks, these steps will then be replaced or supplemented with ML-based surrogates or approximators, such as random forests or shallow neural networks, trained to mimic the outputs
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16 Jan 2026 Job Information Organisation/Company Politecnico di Milano Research Field Engineering Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1
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Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau | Landau in der Pfalz, Rheinland Pfalz | Germany | 5 days ago
FieldEnvironmental science » OtherEducation LevelPhD or equivalent Skills/Qualifications dynamic modeling of populations, communities, networks, carbon and nutrient cycling, cross-scale modeling. experience with