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ERC funded project on the human gut-brain axis (https://cordis.europa.eu/project/id/865568). The ideal candidate will have strong expertise in data analysis related to gut microbiota and metabolite
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advantageous. Proficiency in algorithm development using Python will be advantageous Where to apply Website https://www.timeshighereducation.com/unijobs/listing/405545/research-fellow-ai-… Requirements
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 6 days ago
is mandatory to formalize applications with the submission of the following documents: B1 Form – Fellowship application (https://ist-id.pt/recursos-humanos/bolseiros/#documentos-relacionados
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research group is associated with the newly established Center of Excellence in Neutron-Star Physics (https://neutronstars.fi ), providing us long-term funding, strong connections to related Finnish and
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in Neutron-Star Physics (https://neutronstars.fi ), funded by the Research Council of Finland. The CoE status provides us long-term funding, strong connections to related Finnish and international
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physics, as well as in Unix-based operating systems, and C++ and Python programming languages. The position will be based at UCI and/or CERN based on needs and mutual agreement. Application instructions
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in Python and working in the Linux environment is required. The ability to work with large datasets and basic data management skills (GitHub) are also expected. The Candidate’s responsibilities will
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, orientadas a la usabilidad y eficiencia - Robótica social - C, Python. y choreographe para el desarrollo de aplicaciones - Bases de datos SQL para almacenamiento y análisis de datos - Control de versiones con
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., Fura-2, GCaMP). Strong understanding of ion channel function and neuronal signaling pathways, especially in nociceptors. Data Analysis: Familiarity with tools such as MATLAB, Python, Clampfit, and ImageJ
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tool at: https://ausme.auburn.edu/ Essential Functions Assist with the development of new AUSME system features using Python. Work with MySQL to query, update, and maintain AUSME datasets. Support server