60 high-performance-computing positions at Chalmers University of Technology in Sweden
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military service. What you will do The overall goal with this project is to perform research that can aid the development of future bio-refineries that produces chemicals and fuels based on bio-oils and
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partners over the past five years. Major responsibilities Your major responsibility as a PhD student is to perform your own research as part of the research group in CAM2 Centre at Chalmers. The position
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Engineering .SUWEE comprises 15 researchers dedicated to high-quality research and teaching on stormwater management, climate adaptation, and contaminated materials.Our strength lies in combining experimental
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safety. You will work on developing control algorithms all the way to performance assessment in test vehicles. The project combines theoretical aspects of control algorithms, experimental design, and
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their influence on dynamic properties. Main responsibilities Your major responsibility as a postdoc and project coordinator is to assure smooth coordination of the above mentioned projects and perform
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propagation problems, stochastic partial differential equations, geometric numerical integration, optimization, biomathematics, biostatistics, spatial modeling, Bayesian inference, high-dimensional data, large
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Technology (Maria Taljegård). Main responsibilities Plan and perform research under the guidance of supervisors Apply and develop energy- and environmental systems assessment methods and tools Collect and
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connection with this position. *** Chalmers University of Technology in Gothenburg conducts research and education in technology and natural sciences at a high international level. The university has 3100
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for material structuring – We investigate nanostructured soft materials using graphene and other high aspect ratio fillers to enhance antibacterial, electrical, thermal, mechanical, gas-barrier, and hierarchical
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computational costs by orders of magnitude and enabling breakthroughs in drug design and materials science. The position bridges machine learning and molecular science, with opportunities for collaboration