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Development Fund (ERDF) of the European Union, through the COMPETE2030 of Portugal 2030 - COMPETE2030-FEDER- 00825300 (projet FCT nrº 16965)1 3. Admission Requirements: 3.1. 3. Students enrolled in doctorate
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a Research Infrastructure? No Offer Description This position is part of HEPARD MSCA European funded doctoral network (https://cordis.europa.eu/project/id/101226455 ). The project is training early
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written by humans and large language models. Months 5-6. Development of green algorithms for syntactic analysis of natural language using HPSG grammars Where to apply Website https://sede.udc.gal/services
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engineering; Experience in AAV vector transduction and titration assays; Experience in the development of dual AAV vectors; Experience in flow cytometry; fluorescence microscopy, PCR, Wester Blot and ELISA
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cell specification, subtype diversity, and their capacity to enhance regionalization and laminar organization within cortical-like structures. Through these studies, we seek to advance the development
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neuroscience is essential Experience with modelling, analysis of complex dynamical systems, simulation, analysis of large-scale datasets with machine learning methods, and software development are beneficial
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Infrastructure? No Offer Description Area of research: PHD Thesis Job description: Your Job: Help us shape the energy transition! As part of your doctoral studies, you will support the development of innovative
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Leipzig, Sachsen | Germany | about 11 hours ago
control of adipose tissue functions and the development of metabolic disorders. Your tasks The project aims to unravel the complex neurobiological mechanisms that link brain function with metabolic outcomes
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with upcoming tasks and (on-site) appointments VACATION: You will receive 30 days of holiday with us KNOWLEDGE & FURTHER TRAINING: Your further development is important to us – we provide targeted and
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be defined within different manufacturing techniques of lightweight structures to enable novel development of materials and process design. The PhD position will be supervised by Prof. Noomane Ben