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27 Nov 2025 Job Information Organisation/Company Institute for bioengineering of Catalonia, IBEC Research Field Biological sciences » Biological engineering Researcher Profile First Stage Researcher
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networks. The Pertz Lab has developed powerful optogenetic tools and fluorescent biosensors that allow direct perturbation and measurement of these networks using light. Together with the Ginsbourger Group
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or equivalent Skills/Qualifications • Solid knowledge in bioengineering, biotechnology, or biomedical engineering. • Experience or interest in biosensors and biomarker detection. • Fundamentals of analytical
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from 35 different countries. www.ibecbarcelona.eu Where to apply Website https://ibecbarcelona.eu/research-assistant-at-the-biosensors-for-bioengineerin… Requirements Research FieldBiological sciences
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for alternative analytical approaches for vaccine–antigen quantification. You will then learn current industry best practice methods involving ELISA assays and biosensor technology at Zoetis before developing and
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to a maximum of 2 points, according to this formula: https://s.ua.es/es/bJY4 where M is the average mark obtained in one of the qualifications specified in the aforementioned section 3.1, as it appears
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Where to apply Website https://www.rfgi.es/ConvocatoriasPropiasFIMABIS/es/Convocatorias/VerConvocatori… Requirements Research FieldMedical sciences » Health sciencesEducation LevelPhD or equivalent Skills
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Dipartimento di Ingegneria dell'Informazione - Università degli Studi di Padova | Italy | 3 months ago
22 Nov 2025 Job Information Organisation/Company Dipartimento di Ingegneria dell'Informazione - Università degli Studi di Padova Research Field Engineering Researcher Profile Recognised Researcher
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Fellow to work on organic electrochemical transistor-based biosensor devices for health management applications as part of our Shenzhen-Hong Kong-Macau Science and Technology Plan Project (Category C
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biosensor imaging, and behavioral pose estimation. The specialist will integrate multimodal datasets and apply advanced statistical and machine-learning methods to uncover relationships between gene