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be favorably considered. If you are a non-Swedish speaker, we expect you to try to learn Swedish when you start your position (SLU arranges Swedish courses). Emphasis will be placed on personal
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nutrition, such as: analysis of time series data and dynamic processes, where signals and responses evolve over time. statistical modelling, AI, and machine learning on large epidemiological cohorts, diet and
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Uppsala University, Department of Information Technology Are you interested in developing new image analysis and machine learning methods for precision medicine and clinical decision support? Would
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working conditions and attractive benefits. Equality, diversity and equal opportunities are essential to quality and form an integral part of KTH’s core values as a university and public authority. Learn
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, and Data-driven evolution and biodiversity. For more information, see https://www.scilifelab.se/data-driven/ddls-research-school/ . What do we offer? A creative and inspiring environment full
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models for intelligent environments. The primary area of research involves developing AI models that can learn to represent real-world phenomena based on various types of observations, including video
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Are you interested in developing mathematically grounded methods for uncertainty quantification in deep learning, particularly for large language models in healthcare applications? Are you looking
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learn high-end techniques, especially for cryogenic studies, and to build a scientific network in astrobiology and planetary science fields. In addition to the research assignment, participation in
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the second year onwards. The funded period of doctoral study is then extended accordingly. For more information about doctoral studies: https://www.umu.se/en/research/research-with-us/doctoral-studies/ https
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and ability to communicate clearly Merits include: Knowledge of LLMs, deep learning, and Python programming Knowledge of power electronics Experience in modelling, simulation, and experimental work In