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The scholarship lasts for 9 months, as long as it does not exceed the final date of execution of the respective project Offer Starting Date 10 Mar 2025 Is the job funded through the EU Research Framework Programme
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does not exceed the final date of execution of the respective project Offer Starting Date 10 Mar 2025 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the
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Faculdade de Ciências Médicas|NOVA Medical School da Universidade NOVA de Lisboa. | Portugal | 3 months ago
Apr 2025 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number SAI/2025/04 Is the Job related to staff position within a Research Infrastructure
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: The grant(s) assigned under this call will be funded by European Regional Development Fund (FEDER), through the Innovation and Digital Transition Programme (COMPETE 2030), Portugal 2030 and the European Union
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) assigned under this call will be funded by European Regional Development Fund (FEDER), through the Innovation and Digital Transition Programme (COMPETE 2030), Portugal 2030 and the European Union | Operation
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Research Framework Programme? Not funded by a EU programme Reference Number Projeto PRR- Agendas Mobilizadoras-C644929456-00000040-VIIAF Is the Job related to staff position within a Research Infrastructure
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Research Framework Programme? Not funded by a EU programme Reference Number IMPULSE-101132028 Is the Job related to staff position within a Research Infrastructure? No Offer Description Call open for
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within a Research Infrastructure? No Offer Description Work Plan: The HyCARE project aims to develop hybrid Clinical Decision Support Systems, that is with a Rule-Based component and a Machine Learning
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Infrastructure? No Offer Description Work Plan: The HyCARE project aims to develop hybrid Clinical Decision Support Systems, that is, with a Rule-Based component and a Machine Learning component. The work to be
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within a Research Infrastructure? No Offer Description Work Plan: The HyCARE project aims to develop hybrid Clinical Decision Support Systems, that is, with a Rule-Based component and a Machine Learning