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(R2) Positions Postdoc Positions Country Portugal Application Deadline 29 Sep 2025 - 23:59 (Europe/Lisbon) Type of Contract Temporary Job Status Full-time Hours Per Week 40 Offer Starting Date 1 Nov
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Postdoc Positions Country Portugal Application Deadline 26 Sep 2025 - 23:59 (Europe/Lisbon) Type of Contract Temporary Job Status Full-time Hours Per Week 40 Offer Starting Date 15 Oct 2025 Is the job
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, inferential, and multivariate methods, including principal component analysis (PCA), regression, and machine learning algorithms (e.g., Random Forest), with the aim of integrating various environmental exposure
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(IMI, IMT, IRS, Census) with descriptive methods and causal econometric techniques. It will use various approaches to identify vacant dwellings, including machine learning algorithms to visually detect
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Approaches for Secure Distributed Data Processing and Access”, “2023.12254.PEX”, ”DOI: https://doi.org/10.54499/2023.12254.PEX ”, funded by the Fundação para a Ciência e a Tecnologia, I.P. through national
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into the activities 1 and 2 of the Discover@MOChip project: - Design and manufacture of a multi-OoC microfluidic system; - Assessment of introducing geometric elements (e.g., pillars) to promote uniform distribution
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LIP - Laboratório de Instrumentação e Física Experimental de Partículas | Portugal | about 1 month ago
-cellular distribution) with the bio-effects observed at the metastatic niche scale”. The work will be carried out within the RADART group at LIP in Lisbon, in close collaboration with the other research
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, using large-scale data and algorithmic tools to evaluate impact. APPLICABLE LAW AND REGULATIONS:……………………………………………………… …….......... Research Fellowship Holder Statute (“Estatuto do Bolseiro de Investigação
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potential research topics to improve the project results. Research topics may include interventions in public services, labor markets, marketing, and digital platforms, using large-scale data and algorithmic
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sequencing, proteomics, and metabolomics; interpretation of datasets and clinical data using advanced statistical methods and machine learning algorithms to identify correlations between molecular alterations