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topics. Where to apply Website https://www.unibz.it/en/faculties/economics-management/phd-economics-finance/ Requirements Additional Information Eligibility criteria Eligible destination country/ies
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: country/ies of residence: EUROPE Eligibility of fellows: nationality/ies: EUROPE Website for additional job details https://www.imtlucca.it/en/phd/information-for-students Work Location(s) Number of offers
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | about 1 hour ago
data analysis methods to study biological memory circuits and their applications to machine learning. Building on recent work from the Fiete Lab, the role focuses on identifying principles of biological
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the PhD Students to: - Perform the analytical determinations for the different models, including sample preparation, and analysis of various lipid compounds, mineral elements and stable isotopes
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connectivity analysis and structural MRI data analysis. Strong background in neuroscience and psychology. Experience working with clinical datasets, neuropsychological assessments, and pathology-related
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17 Mar 2026 Job Information Organisation/Company cnrs Department lem3 Research Field Engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 30 Jun
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, Air quality, PFAS, Particles, Non-target analysis, Data analysis. Location of the PhD project: UPVD (Université Perpignan Via Domitia), Perpignan, France: 1st year of the PhD INERIS, Verneuil-en-Halatte
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including radiofrequency hardware and software, pre and post procession pipelines, and MRI data analysis. The position responsibilities include writing grant applications as principle and co-investigator and
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19 Mar 2026 Job Information Organisation/Company LEM3 Research Field Engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 30 Jun 2026 - 00:00
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managers. 3) Comparative analysis of data collected across sites to identify which barriers and /enablers are context-specific and which can be abstracted or generalised. The applicant is made aware