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education to enable regions to expand quickly and sustainably. In fact, the future is made here. Department of Computing Science The Department of Computing Science at Umeå University is an international
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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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to develop novel machine learning methods to improve malware detection. The doctoral student position is offered within a research project financed by the Wallenberg AI, Autonomous Systems and Software Program
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, Python, Fortran, or comparable computational environments is highly desirable. Excellent written and oral communication skills in English are required. Knowledge of Swedish is not necessary. Merits
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educational programs in Computing Science, we are now seeking a PhD student with focus on Software Lifecycle Security. The Department of Computing Science has been growing rapidly in recent years, with a focus
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the flexibility of neural methods. If successful, the work has the potential to advance applications such as automated theorem proving, knowledge-graph inference, and causal analysis. The Department of Computing
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further developing code-based workflows for data collection, processing, and database updates, including work with external data sources and APIs. Developing methods and program code that ensure
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, experience working with the PyTorch framework, documented ability to develop algorithms and implement them in efficient code, and experience in statistical modeling, optimization or numerical methods, as
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the role of autologous fat and muscle cells in breast reconstruction with autologous tissue transfer. The position involves working in parallel with several different cell types, which requires the ability
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orientation, quantitative approaches and survey analyses may also be relevant alongside qualitative methods. The employment Positions as doctoral students in the doctoral program amount to four years of full