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the opportunity of further development. You will have responsibility for driving the development of AF4-SANS. This also includes applying for beamtime and designing relevant experiments within the project
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expertise in network resilience or survivability and in network optimization. Solid programming skills (for example in Python) and hands on experience with mathematical optimization and network modelling. A
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to have: Documented experience in experimental research, for example work conducted in laboratory, testbed, or industrial environments Experience with industrial robots, collaborative robots, or portable
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. Mandatory experiences and skills Documented ability to conduct high-quality independent research. Strong computational, mathematical, or modelling skills relevant to complex mobility systems, including
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to teaching (5-15%), and to demonstrate good potential within research and education. The following experience will strengthen your application: It is highly meritorious if the doctoral degree has been obtained
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experimentally and making a difference in the areas of materials and manufacturing, we look forward to receiving your application. About the research project The aim of this project is to investigate the synthesis
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the lab’s infrastructure, experimental toolkit, and best practices for tumor-on-chip fabrication, biomechanical sensing and immune function characterization. You will collaborate closely with the principal
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, preparing and conducting experiments for cell performance measurements, cell teardown and electrode material analysis. Analyse experimental data. Collaborate with researchers within the BMS team in
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, applied mathematics, or a closely related quantitative field. The ideal candidate has experience in mechanistic or mathematical modelling of biological systems, an interest in working with experimental
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. For more information about the Akelius Math Learning Lab, see: https://www.chalmers.se/institutioner/mv/akelius-math-learning-lab/ Who we are looking for The following requirements are mandatory: Doctoral