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24th November 2025 Languages English Norsk Bokmål English English PhD Fellowship in information technology - AI for medical image analysis Apply for this job See advertisement Job description The
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microbial challenge testing or microbiological food safety studies; - Experience in studies related to the gut microbiome (including data analysis); - Good proficiency in English Candidates for the Research
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research experience in fermentation processes and ingredient formulations. c) Previous participation in applied research projects and/or experience in scientific communication and dissemination activities
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of their bioactivity, including antioxidant, antimicrobial, anti-inflammatory, and skin barrier–related effects; and (v) analysis and interpretation of experimental data, preparation of technical reports, and support to
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cultures from mouse brain tissue, iPSCs and their neuronal differentiation; • Viability assays and functional analysis; • Electrophysiology using microelectrode arrays (MEA); • Animal experimentation using
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Recovery (WHR) system with the potential to shift heat extraction/storage from electricity production. Plan: 1 Specification 2 Selection of a commercial unit 3 Performance forecast analysis 4 Assembly and
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+ (frontend and backend) to improve usability and experience on multiple devices (laptop, tablets and phones). - to develop and integrate tools for quantitative transcriptomic analysis within YEASTRACT
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grant to carry out R&D activities under the project 'Norte+Saúde | Digital Transition and Innovation in Health Education' (Ref. PRR - 09/C06-I07/2024.P11721), as part of the experimental component of
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NOTICE OF OPENING OF COMPETITION FOR RESEARCH SCHOLARSHIP (GRADUATE) - S2AQUAcoLAB/Bolsa/Ref_02/2026
S2AQUA – Collaborative Laboratory, Association for a Sustainable and Smart Aquaculture | Portugal | 22 days agothe scope of the project; 5. Data analysis, report writing, dissemination of results and preparation of content for knowledge transfer. The position includes a training component, and candidates interested
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activities through field surveys and data analysis; 4. collection, processing and analysis of samples for environmental DNA (eDNA) aimed at species detection and spatial distribution assessment; 5. performance