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algorithms and methods for calibrated Bayesian federated learning for trustworthy collaborative Bayesian learning on data from multiple participants. The project will develop new methods, theory, and
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/herself to his/her own education. The project and research environment will give the dedicated student the opportunity to train as a first-class researcher. Qualifications Applicants must hold a University
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syntheses, analyzing compounds using modern spectroscopic and structural techniques, and interpreting experimental data. The candidate is also expected to contribute to the development of new research
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processes to human health and global ecosystems. The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS) aims to recruit and train the next generation of data-driven life
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also connected to the Wallenberg Initiative Materials Science for Sustainability (WISE, https://wise-materials.org ). WISE, funded by the Knut and Alice Wallenberg Foundation, is the largest-ever
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We are seeking a PhD candidate to join our team in the development of next-generation bioelectronic platforms to study implant interfaces and modulation of the brain tissue microenvironment
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of the gas-phase composition. The work involves the development and application of advanced experimental methods to link surface structure, gas-phase reactions, and catalytic activity under realistic reaction
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between people and pave the way for science, creativity and development. Therefore, we welcome applications from people with diverse backgrounds and perspectives. Where to apply Website https://web103
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and must be prepared to contribute to your department’s work and development in various ways. Upon agreement, you may have to participate in departmental duties involving teaching and administration
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29 Mar 2026 Job Information Organisation/Company Mittuniversitetet Department Department of Natural Sciences, Design and Sustainable Development Research Field Environmental science Researcher