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Field
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development of novel approaches for clinical natural language processing specifically looking at the use of language models for coding clinical texts, and with a particular focus on explainability methods to be
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(Qiskit, Cirq, etc.) - Fault-tolerant topological quantum computation - Quantum error correction - Topological / neutral-atom quantum computer & simulator platforms [Numerical & Computational Methods
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Life and Health Sciences Research Institute (ICVS), from the School of Medicine (EM) of the University of Minho | Portugal | 2 months ago
position, by order of the final ranking, for which the respective applications will have to be evaluated with a minimum final classification of 3,5 values, considering the evaluation method adopted in
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. Integreat develops theories, methods, models, and algorithms that combine data with general or domain-specific knowledge, helping lay the foundations for the next generation of machine learning. Integreat
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artificial intelligence (AI) and an increasingly important force in a digital and data-driven world. Integreat develops theories, methods, models, and algorithms that combine data with general or domain
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guidance throughout the duration of the fellowship. Qualification requirements Formal qualifications Education equivalent to five years at university level in Norway, with two years (120 credits) at Master’s
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learning, AI interpretability, formal verification methods, modeling emergent risks from AI R&D automation. Candidates are encouraged to interpret these subject areas broadly. Fellows will have access
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interpersonal and communication skills. While not a must, a strong background in computational methods and/or statistical methods is a plus. Special Instructions Applicants should submit a formal application and
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organism movement and behavior through image tracking Advancing unsupervised and semi-supervised classification methods to discover previously unrecognized biological groupings Explore adaptive AI-guided
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/these factor(s) in depth in Norway with a qualitative approach (e.g. interviews or classroom observations). The PhD Fellow will be expected to be able to use advanced quantitative methods to analyze ILSA data