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Simons collaborations on superconductivity. Develop and apply theoretical and/or computational methods for correlated quantum materials, including Keldysh formalism to nonequilibrium steady-state and rf
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sources Design reproducible studies and evaluate models using appropriate analytical methods Build and evaluate reproducible longitudinal models and research software Write scientific articles and
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frameworks, bioinformatics, data analysis, data science, discrete and machine learning algorithms, distributed, intelligent, and interactive systems, networks, security, and software and database systems
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. This is primarily a hands-on core-facility position: the appointee will help deliver reliable proteomics services, support facility users, maintain robust daily operations, and develop methods that can be
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LLM-generated responses through structured question-answer-evaluation conversations. Combining computational and interpretive methods, the project will generate reproducible, cross-domain datasets
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at the Department of Technical Physics. The aim of the project is to develop and validate image reconstruction methods and hardware for low-field (~50 mT) magnetic resonance imaging. As our new Postdoctoral
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evaluate human- and LLM-generated responses through structured question-answer-evaluation conversations. Combining computational and interpretive methods, the project will generate reproducible, cross-domain
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with international partners, and contribute to high-impact publications. Requirements: Candidates must have: PhD degree (obtained or expected) in Molecular Biology, Cell Biology, Genetics, or related
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, integrate genomics, epitranscriptomics and transcriptomics data, and contribute to the development of novel systems biology and bioinformatics methods for RNA therapeutic target discovery. The project is led
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soon as a suitable candidate has been found. Position description The Research Council of Finland funded PhD project aims to discover how inflammatory conditions and ageing affect the function and