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Field
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deep learning approaches, with a particular interest in developing methods capable of handling scarce or corrupted data, designing methods for specific imaging modalities, or understanding and
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background in Control Systems Theory (e.g., MIMO control, state-space methods, optimal control, model predictive control, system identification) AND/OR Artificial Intelligence / Machine Learning / Data Science
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related field by the appointment start date. The successful candidate will also have: A strong background in numerical modeling and the application of computational methods to land surface hydrological
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, Psychology, or Indigenous Health, and the ability to travel. Preferred qualifications: Experience with qualitative, quantitative, and/or mixed methods research methods Experience related to research projects
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FLEXPART model, you can also propose your own research topics. These could be, for instance, theoretical and numerical improvements of FLEXPART, development of new application fields for the model, or novel
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
of reinforcement learning and bandit algorithms Mathematical and algorithmic perspectives on large language models Statistical learning theory and complexity analysis Automated theorem proving and formal methods
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the FLEXPART model, you can also propose your own research topics. These could be, for instance, theoretical and numerical improvements of FLEXPART, development of new application fields for the model
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technology or system of higher education, in Portugal or abroad. 6.2 — The score obtained in the curricular evaluation method is expressed on a numeric scale of 0 to 20, considering the valuation up to two
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collaboration with numerous academic and cultural stakeholders, the SPHINX project – ‘Heritage Sciences: Heritage, Innovation, Challenges’ – addresses the preservation of cultural heritage through three
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for trace element and geochronologic analysis, and collaborates with the Micron School of Materials Science and Engineering, which houses numerous electron beam instruments, including an SX5 electron probe