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H. Lee Moffitt Cancer Center & Research Institute | Tampa, Florida | United States | about 2 months ago
, epigenomics, CRISPR-CAS9-genome editing, multiplex immunofluorescence and spatial transcriptomics, with the ultimate goal to harness the immune responses for cancer therapies. To learn more about Avram Lab
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; ability to work responsibly and autonomously under the guidance of qualified senior staff; proficiency in Portuguese; advanced command of English; willingness to travel within the Algarve region. Taking
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programme Reference Number AE2026-0219 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2026-0219
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working here . We are an open place of enquiry and challenge. We embrace and celebrate difference, diversity and debate, and we pride ourselves on being a place of education, learning and community where we
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Medicine within the College of Community Health Sciences (CCHS), has an exciting opportunity to join The Drug Research and Engineering for Advanced Medicine (DREAM) lab (https://sites.ua.edu/dreamlab
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, economic situation, education, origin or social condition, genetic heritage, reduced work capacity, disability, chronic illness, nationality, ethnic origin or race, territory of origin, language, religion
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Researchers. The research action Sustainable Wellbeing Across Lifespan (SWAN) (https://www.swan-helsinkiuni.net/ ) conducts cutting-edge research to promote health span by identifying individual risks and
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): https://www.dges.gov.pt/en/pagina/degree-and-diploma-recognition?plid=1… ; Universidade do Minho: Reconhecimento de graus e diplomas estrangeiros: https://www.uminho.pt/EN/education/Pages/recognition
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cycle or non-award courses of Higher Education Institutions. Preference factors: • Fluency in English and portuguese, spoken and written; • Experience in applied optimization; • Knowledge of digital twins
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measurement science research in robotics, advanced autonomy, and artificial intelligence systems. Utilizing deep learning, large language models (LLMs), reinforcement learning, and unsupervised machine learning