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Field
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codes and process their results. Helping to develop new models and algorithms to simulate pulse propagation, the material response, and other aspects of our experiments. Coding in Julia and python. Take a
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research. The successful candidate will contribute to methodological innovation, computational implementation, simulation studies, software development, manuscript preparation, and grant-related research
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to represent and model expectations using formal methods, develop techniques that help a system reason about human expectations at runtime, and evaluate the contributions using simulations and experiments with
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. • Experience preparing research publications, technical reports, or project documentation. • Programming, modeling, simulation, system development, or data analysis • experience using tools such as Python
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The main objective of the project is to develop novel, interpretable predictive models for response to immunotherapy in patients with advanced melanoma, based on the functional activity of gut fungi
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: Proficiency in machine learning, statistical modeling, and quantitative methods for multi-omics data analysis Molecular Simulations: Expertise with molecular simulation tools like OpenMM, AMBER, Gromacs, and
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years prior to the application deadline Hands-on experience from lab work related to sintering, powder metallurgy, and characterization techniques. Knowledge and experience in modelling techniques in
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, LeafWeb, Sapfluxnet, PSInet) to translate trait variation into model parameter priors and functional constraints, and to explore parameter relationships with environmental conditions Hybrid modeling
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at SLU in Umeå. About the position We are looking for a postdoctoral researcher with a particular interest in forest landscape modelling. As part of a two-year postdoctoral project, you will use
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be expected to participate in the project’s work, work as a team member, and perform the following major tasks: Design of the experimental set up and tests Theoretical modeling and simulation