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] Subject Areas: Machine Learning Complex Systems Computational Science and Engineering / AI/ Machine Learning , Artificial Intelligence , Data Sciences , Machine Learning Theoretical Physics / Statistical
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to build sequence dependent predictive deep learning models, and physical mechanistic models (thermodynamic and kinetic models etc.). Examples of suitable backgrounds: machine learning, programming
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changes and established markers for Alzheimer's disease. The project may also include machine learning methods to estimate individuals' biological age. The project is based on existing data from a prominent
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global issues is health, as millions of people continue to suffer from diseases and chronic conditions. At our university, more than 200 scientists are actively engaged in research aimed at tackling a wide
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highly recognized research. More information about us, please visit: The Department of Biochemistry and Biophysics . Project description The successful candidate will develop machine learning (ML
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advisor in digital technology within the military, and in matters related to human rights and neurotechnology, is required. The candidate must also have documented experience with the legal aspects of how
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Conditions Appointment is for one year initially with the possibility to extend for another year. A scholarship at Linköping University cannot exceed two years in total. The scholarship amounts to SEK 28,500
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are regulated and the extent that microbial metabolism varies over time and space in relation to environmental conditions. Main responsibilities Research will involve analysis of meta-omic data from samples