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Development of FEM 2.0 models based on CUF for the analysis of multiphysics problems - Ref. 21/26/CR
https://careers.polito.it/ Work Location(s) Number of offers available1Company/InstitutePolitecnico di TorinoCountryItaly Contact City Torino Website https://www.polito.it STATUS: EXPIRED X (formerly
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of fellows: nationality/ies: OTHER Selection process To apply fill out the form available at the following website: https://careers.polito.it/ Website for additional job details https://careers.polito.it/ Work
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of Dr Marco Monopoli in the Chemistry Department at RCSI University of Medicine and Health Sciences. The priority focus of this role is on utilising and applying mass spectrometry and glycan analysis
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Eligibility of fellows: country/ies of residence: EUROPE Eligibility of fellows: nationality/ies: EUROPE Website for additional job details https://uniroma3.traspare.com/albo Work Location(s) Number of offers
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, thrive in a dynamic environment, and want to be part of a team that drives meaningful impact, we’d love to hear from you! Join us and be a part of shaping the future of finance at NUS! Website: https
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for indoor geolocation. The project also includes the prototyping of a computer system for point-to-point navigation within buildings, following on from the analysis. Where to apply Website https
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of transient and sporadic faults, and the analysis of the effectiveness of fault mitigation measures in presence of complex fault patterns. Moreover, this study will investigate the use of fault propagation
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, image acquisition, and quantitative analysis. Data management, technical support, and laboratory maintenance. Where to apply Website https://www.uam.es/uam/investigacion/ofertas-empleo/contrato
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%, Multidimensional OMICS Data Analysis Group) Ref. Number: 398_2026 These positions are part of the Leibniz Science Campus “Cardio-Oncology Campus for Precision Medicine”, with focus on the analysis and development
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genomics, transcriptomics, epigenomics, single-cell analysis, and functional validation in model systems. This position is intended for candidates with advanced training in computational biology, genomics