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management Solid knowledge of statistical methods as applied to sensory testing and consumer research; experience with key software such as XLSTAT, R, SPSS or similar Multivariate data analysis skills (sensory
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Job Description Would you like to join a team that supports the green energy transition by developing wind turbine response and validation methods and solutions? We are seeking a highly motivated
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relevant field (e.g. environmental science, chemical or environmental engineering, atmospheric science, or agroecology). Proven experience with gas flux measurements and instrumentation (e.g. chamber methods
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migrants and disadvantaged learners through an inclusive digital transformation. You will become part of a diverse and interdisciplinary environment that bridges computer science, pedagogy, and modern
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Job Description Are you passionate about computational modelling and elastomeric materials? We are looking for a Postdoc to develop and apply state-of-the-art models for elastomeric materials and
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methods. By joining us, you will contribute to cutting-edge experimental research, work in state-of-the-art quantum optics laboratories, and collaborate closely with leading international partners in
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archaea-bacteria consortia and a wide array of imaging approaches including structural and chemical imaging. The postdoc will use the following methods: Handling and experimenting with anaerobic syntrophic
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advanced mesoscale fluid simulations such as CFD, Lattice Boltzmann Method (LBM), Pore Network Modelling (PNM), and Molecular Dynamics (MD) with microfluidic experiments. The research targets gas bubble and
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histories in Central Eurasia by applying palaeoproteomic methods to a selected number of archaeological sites in the region. The position is based in a research group composed of evolutionary and molecular
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to quantify the uncertainty in model outputs using different methods. Run scenario analysis to identify management practices with the largest mitigation potential, both spatially and temporally Support training