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20 Mar 2026 Job Information Organisation/Company CSIC Research Field Chemistry » Organic chemistry Biological sciences » Biology Researcher Profile First Stage Researcher (R1) Positions Master
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student II. Number of vacancies: 1 III. Discipline: forest sciences IV. Application deadline: 30/04/2026 V. Detailed information about recruitment process can be found on the website: https
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 29 days ago
of the following documents: B1 Form – Fellowship application (https://ist-id.pt/recursos-humanos/bolseiros/#documentos-relacionados ); Curriculum Vitae; academic degree certificate, where applicable; motivation
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» Information technology Additional Information Eligibility criteria Master's degree in Informatics Website for additional job details https://www.unimc.it/it/ateneo/bandi-e-concorsi/finaziamenti-ricerca/borseattiv… Work
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Master's degree in Art Management Website for additional job details https://www.unimc.it/it/ateneo/bandi-e-concorsi/finaziamenti-ricerca/borseattiv… Work Location(s) Number of offers available1Company
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the most active pre-main-sequence end of the cool star sequence, where the stellar environment is most extreme and the atmospheric consequences most dramatic, we build towards a unified predictive model
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Your Job: In this master thesis, a multi-agent-based local energy market simulation ASSUME shall be extended to account for district grid constraints. The objective is to investigate how local grid
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) Positions Master Positions Application Deadline 2 May 2026 - 23:59 (Europe/Warsaw) Country Poland Type of Contract Temporary Job Status Full-time Hours Per Week tbd Offer Starting Date 1 Oct 2026 Is the job
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of uraemic toxins, inflammation and impaired muscle function (sarcopenia). Thus, the microbiota emerges as a key player and a potential therapeutic target. The main objective of this PhD thesis is to assess
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datasets [e.g. behaviour, simultaneous EEG-fMRI and eye-tracking data]. Main research themes include, but not limited to: reinforcement learning and valuation, risk and uncertainty, confidence and