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://www.chalmers.se/math/ At the division of Applied Mathematics and Statistics we conduct research within probability theory and its applications, the theory and implementation of finite element methods, inverse wave
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include the design and implementation of finite element multiscale models and machine learning algorithms, analyzing related experimental data, and collaborating with industrial collaborators to validate
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the valuation of natural assets? This interdisciplinary research builds on real options theory and modern computational methods to assess dynamic, irreversible decisions under uncertainty. By blending tools from
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spirit where one factor is that researchers at the Department share and co-finance common resources (e.g., IT and an applied biostatistics group). The department is situated at campus Solna. Further
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from several pilot-scale facilities. The characterization includes all conventional methods for product quality, and detailed studies to understand the connection between the new process conditions and
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rotation forestry towards continuous cover forestry methods is debated in Scandinavia as a way forward to increase biodiversity and climate resilience. This postdoc project will be based on empirical field
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pilot-scale facilities. The characterization includes all conventional methods for product quality, and detailed studies to understand the connection between the new process conditions and the resulting
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(AIMLeNS) lab is a tight-knit team of computer scientists, chemists, physicists, and mathematicians working collaboratively. Our focus is on developing practical methods that blend traditional disciplines
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salary Number of positions: 1 Full-time equivalent: 100% City: Stockholm County: Stockholms län Country: Sweden Reference number: PA-2025-2675 Contact: Prof. Oscar Tjernberg, oscar@kth.se Published: 2025
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include writing scientific manuscripts, presenting project outcomes, and to supervise students at basic and advanced level. The research project will be coordinated by Prof. Rickard Ignell at SLU Department