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of Mechanical Design and Engineering Materials, financed by IDMEC funds, under the following conditions: Scientific Area: Mechanical Design and Engineering Materials Admission Requirements: Post-Doctoral Research
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Research Scholarship of Post-Doctoral Research for the scientific area of Chemistry - IST/2025/BL103
for in vivo recognition of FAP. The biodistribution of the radiolabeled miniproteins will be evaluated in animal models. PET/SPECT imaging will be performed to assess their pharmacokinetics and to support
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Technology (FCT), within the scope of the Call for Exploratory Research Projects in All Scientific Domains 2024”, under the following conditions: 1. Scientific Area: Chemical Engineering 2. Admission
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the European Funds Next Generation EU, under the incentive system "Agendas para a Inovação Empresarial", in the following conditions: RESEARCH FIELD: Civil Engineering or related areas. RECIPIENT CATEGORY
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the following conditions, set out below. Scientific area: Biological Sciences Admission requirements: General requirements: The postdoctoral research grant can be awarded only if the following requirements
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and scientific validation of a complete green hydrogen blending and injection station for natural gas transmission and distribution networks under real operating conditions. The project will demonstrate
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ML models and Python programming. Work Objectives: The main objective of this position is to develop, implement, and validate advanced machine learning methodologies within the scope of the project
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- Funding and financial conditions of the grant VI.I - Monthly grant amount (paid by bank transfer at the end of each month): € 1851,00 VI.II - Other financial components of the grant: N/A VI.III - In
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data collection and mapping. 3D engineering geological modelling. Within these two areas of activity, the candidate is expected to participate in the following: preparation, collaboration and submission
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, including electronic health records and cohort study data; Develop and apply clustering methods and classification models for patient stratification; Conduct survival analyses and implement time-to-event