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design is a long-standing computational and immunological problem. Improving computational methods for antibody recognition is crucial for the development of personalized and precision medicine approaches
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computational methods for antibody recognition is crucial for the development of personalized and precision medicine approaches such as next-generation infection, cancer, and autoimmune immunodiagnostics and
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about 10 PhD students. The group's primary area of research relates to numerical and computational methods for processes associated with porous materials, with a particular emphasis on geological
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(logistics, smart grids) Health Care Edge systems are complex. They comprise numerous heterogeneous distributed nodes. These nodes are computing, storing, monitoring, actuating, etc. To couple with these use
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postdoctoral research fellowship is available at the Department of Mathematics in the research group of Prof. Andreas Carlson at the University of Oslo (UiO). The position is part of large interdisciplinary
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Profile First Stage Researcher (R1) Country Norway Application Deadline 1 Dec 2025 - 22:59 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme
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immunological problem. Improving computational methods for antibody recognition is crucial for the development of personalized and precision medicine approaches such as next-generation infection, cancer, and
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theoretical and computational modelling of the droplets and how they wet soft interphases. It is planned that the numerical simulations and theoretical predictions will help advance our understanding
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operating conditions and fault scenarios. Development of condition monitoring (CM) solutions by integrating CM data with SCADA and inspection data. Modular performance analytics using SCADA, numerical, and CM
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relevant field of computer science or informatics for this position, such as programming language theory, formal methods or semantic technology A solid documented background in theoretical computer