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produce and interpret dynamic visual signals. The successful candidate will contribute to experimental design, computational analysis of behavioral data, and the integration of biological insights with
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projects integrating omics, clinical and medical imaging data, contributing to biomarker identification and the development of computational approaches for healthcare. Key responsibilities include analysis
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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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] Subject Area: Numerical analysis Appl Deadline: 2026/04/13 10:59 PM UnitedKingdomTime (posted 2026/03/11 04:00 AM UnitedKingdomTime, listed until 2026/04/14 04:59 AM UnitedKingdomTime) Position Description
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the field of: - analysis and quality evaluation of food products; - particular expertise in sensory analysis, data collection, sampling, and statistical data processing. The interview will be held in Italian
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for generative AI Where to apply Website https://www.santannapisa.it/it/assegni-di-ricerca-e-selezioni-incarichi-esterni… Requirements Additional Information Eligibility criteria Eligible destination country/ies
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AND VERIFICATION” – CUP B53C23008910005, PRESSO L'ISTITUTO CNR-IEIIT SEDE DI GENOVA Where to apply Website http://www.ieiit.cnr.it Requirements Additional Information Eligibility criteria Eligible
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Dipartimento di Ingegneria dell'Informazione - Università degli Studi di Padova | Italy | about 6 hours ago
to apply Website https://www.dei.unipd.it/bandi Requirements Additional Information Eligibility criteria Eligible destination country/ies for fellows: OTHER Eligibility of fellows: country/ies of residence
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) collection, taxonomic identification, preservation, rearing of Culicidae, and laboratory analysis of samples; v) database management, descriptive data analysis, and preparation of technical-scientific reports
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nákladov a prínosov. More information about PhD position: https://fem.uniag.sk/en/doctoral-study-information https://fem.uniag.sk/sk/doktorandske-studium Additional research info: jan.pokrivcak@uniag.sk