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of the project “HUMYK - Autonomous Community Composter", with operation code CENTRO2030-FEDER-01180100 (Nº 17322), co-financed by Centro 2030 Regional Program, Portugal 2030 and the European Union. The purpose
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III- Scientific supervision/coordination of the grant: João Pedro Gonçalves Teixeira de Macedo, Nuno António Marques Lourenço IV - Work Plan / Goals to be achieved: Title: Image Segmentation of Medical
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degree recognition, if applicable. - Enrollment in a PhD program. Selection process The applications must include the following documents: Application form available on the internet page
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related fields; b) Bachelor's degree in Psychology; c) Bachelor's degree in Medical Imaging and Radiotherapy; d) Other Bachelor's degrees in the Health field; e) To integrate and/or collaborate in a
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CIIMAR - Interdisciplinary Center of Marine and Environmental Research - Uporto | Portugal | about 1 month ago
and quality assessment PCR amplification and DNA sequencing Microscopy techniques and digital image acquisition Experience in plant, algal, and/or cyanobacterial taxonomy Preparation of culture media
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16 Mar 2026 Job Information Organisation/Company Instituto Nacional de Saúde Dr. Ricardo Jorge Department DEP Research Field Medical sciences » Health sciences Researcher Profile First Stage
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into bio-oil, its characterization, and study of its potential application • Prototype production • Life cycle impact assessment • Participation in dissemination and dissemination actions • Scale-up
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the laboratory. iii) Proficiency in physico-chemical and biological characterization. iv) Know-how on the operation of membrane filtration units. Work Plan: The Student will perform research activities within
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Python and specifically PyTorch/Tensorflow; - Previous experience in the preparation and submission of scientific papers; - Previous experience in medical image research projects; - Proficiency in
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appropriate to the target tasks. • Processing and structuring of sports data from diverse sources, including performance time series, game data, and statistical records. • Investigation of progressive modelling