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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 3 months ago
supervision of Doctor Joana Gaifem. Length time: The duration of the fellowship is 10 months, eventually renewable and the expected starting date is September 1st, 2026, upon availability of the financed funds
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or game theoretic analysis. Experience with large language models, machine learning, and/or programming in R or equivalent programs is an advantage but not a requirement. The evaluation of applicants
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feasibility, spatial placement and configuration of NBS and evaluate their performances from a decision support context. The successful applicant must ensure AI and machine learning technologies are well
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analysis Machine learning and retrieval-augmented AI models for biomarker prioritization and decision support ·Work closely with cross-functional team members to develop hypotheses, interpret data, and
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technology management, or smart grids. Experience in development of mathematical meta-models, control strategies, optimization methods and algorithms, data analysis and machine learning techniques, techno
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 3 months ago
will be carried out at i3S – Institute for Research and Innovation in Health, under the scientific supervision of Doctor Ângela Fernandes. Length time: The duration of the fellowship is 10 months
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Posting Details Position Information Posting Number SF02158 Job Title Postdoctoral Fellow (Interdisciplinary / Cyber Security) Position Number 109603 FTE 1.00 FLSA Exempt Position Type Professional
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. Admission Requirements: Doctor Degree in Environmental Sciences and Engineering. 4. Other Requirements: Experience in air quality modeling will be valued. 5. Eligibility: Applicants are eligible if they had
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will publish your work at major music technology and human-computer interaction conferences and journals. The successful candidate will be based in School of Computing and Creative Technologies
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related field). Decent programming skills, especially in Python or JAX. Familiarity with finance theory (asset pricing, derivative pricing, risk management etc.). Familiarity with machine learning or deep