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Field
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Exactly: A Bayesian Approach. The project aims to address the challenges in pooling inference, by developing and implementing either exact or asymptotically exact Monte Carlo algorithms in collaboration
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for individuals that are interested in pursuing a PhD in economics or finance. The chosen candidate will also gain valuable experience in the application of machine learning and Bayesian inference methods
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modeling, or machine learning - Experience with large-scale genomic data analysis (e.g., GWAS, QTL, PRS, or multi-omics integration) Strong programming skills in R or Python; familiarity with Bayesian
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The objective of the CASSOULET project concerns
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Description New University of Lisbon NOVA School of Science and Technology Notice no. 28211/2025/2 published in Diário da República, 2nd series, no. 220, 13/11/2025 Deadline: 05/12/2025 Opening
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methods of detection, identification, classification and tracking of objects of different sizes, shapes and speeds of movement using elements of artificial intelligence and machine learning. • Research work
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for this position. The initial employment contract is for two (2) years and may be extended upon positive evaluation, allowing promising scientists to continue their research with the ultimate objective of pursuing a
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and manipulating complex data structures, Bayesian modeling, analyzing nested longitudinal data, and who are familiar with techniques for handling challenging data (e.g., highly non-normal distributions
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Offer Description #5124 Public Notice - International Selection Procedure PhD Scientific Researcher Recruitment (Initial Stage Researcher) FCiências.ID/2025/DL57/ cE3c/15 FCiências.ID - Associação para a
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operation ALGARVE-FSE+-01177600 related to the application submitted to Notice ALGARVE-2024-8, funded by the Algarve 2030 Regional Program and co-funded by the European Social Fund Plus (ESF+). REFERÊNCIA