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related subject. Proven experience with X-ray imaging techniques, e.g. µCT, nanoCT, TXM or similar. Experience in computer programming for data analysis, e.g. Python. Demonstrated ability to work both
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of your thesis. Experience of working with optimisation methods, long-term modelling of the forest landscape and its ecosystem services, as well as computer-based decision support systems in general
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subject. Proven experience with X-ray imaging/diffraction techniques, e.g. XRD-CT, 3D-XRD, µ/nanoCT, STXM or similar. Experience in computer programming for data analysis, e.g. Python. Demonstrated ability
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of computer scientists. Extent: 100% employment, distributed as 80% research and 20% departmental duties (typically teaching at the BSc or MSc level). The position is meritorious for future roles in
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leave of absence due to illness, parental leave, positions of trust within trade unions, service in the armed forces, or other similar circumstances, as well as clinical service or service/assignments relevant
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candidates whose expertise falls within one or more of the following areas: computational and mathematical modeling, statistical modeling, machine learning, network science, bioinformatics, applied mathematics
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dynamics & control, developing systems that push the boundaries of robotic locomotion. Learn more at chalmers-rail.github.io . About the research project Free-standing passengers on public transport – buses
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the department of Electrical Engineering research and education are performed in the areas of Communications, Antennas and Optical Networks, Systems and Control, Signal processing and Biomedical
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pedagogical and didatic research methods and theories Expertise in quantitative methods and learning analytics for processing and analysing data What you will do Intitiate, plan and carry out practice-based
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the electrode materials and electrolyte, the conduction mechanism, degradation and the relationship between manufacturing process and materials properties. The analysis relies on combining electrochemical methods