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Field
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We are seeking a Research Fellow - Data Science professional with strong expertise in machine learning, deep learning and high-frequency physiological signal analysis. This is a unique opportunity to
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basic physics. The researcher will perform theoretical and laboratory work to develop optimum methods for measuring the mass of the particles, including radionuclide samples. Advanced uncertainty analysis
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Social Neuroscience lab (https://www.msn-lab.com) led by Prof. Matthew Apps. The lab studies the cognitive, computational and neurobiological basis of motivation and decision-making in healthy young adults
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an independent research project that extends and complements the work of the lab; write and submit proposals to fund the research; secure and maintain IRB and regulatory approvals; conduct analysis, publish
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for Studentships and Fellowships (https://www.fct.pt/wp-content/uploads/2026/03/Tabela-de-Valores-SMM-2026.pdf ) plus, if applicable, the monthly Voluntary Social Insurance, according to the conditions defined in
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analysis, thereby supporting the conceptualisation of the Escola do Território. To achieve these objectives, the fellow will be expected to: a. Support the implementation of the participatory methodology
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lead the management, analysis and drafting of publications drawing on this important dataset, making independent and original contributions to a growing body of community-led evidence that informs policy
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, analysis, and interpretation of the data generated throughout the project. Applicable legislation and regulations: Statute of the Scientific Research Fellow: https://dre.pt/web/guest/legislacao-consolidada
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or geophysical sensors. Ability to collect, process, and analyze complex environmental datasets. Proficiency with scientific programming and data analysis software. Ability to prepare technical reports
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metabolism in ageing models. The use of AI and Deep Learning for data analysis and the establishment of in vitro ageing experimental systems and factor isolation using CRISPR Screening are also planned