22 parallel-computing-numerical-methods Postdoctoral positions at University of Lund in Sweden
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particular we developed and investigated environmental applications of Scheimpflug lidar and its hyperspectral variety. Our methods have applications within profiling pollination services, biodiversity in both
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degree (PhD) At least 1 original publication in a peer-reviewed journal A background in the relevant methods Complete application package submitted through the AMBER portal (including CV and detailed
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empirical methods as well as engagement with actors and users of our science and case study work related to ongoing projects in Sweden. This includes reviewing interdisciplinary literature on social
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after a doctoral degree (PhD) At least 1 original publication in a peer-reviewed journal A background in the relevant methods Complete application package submitted through the AMBER portal (including CV
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interpretation Documented experience in one or more of the following areas: colloidal nanocrystal synthesis and characterization optical spectroscopy, construction, and use of optical setups scattering methods (x
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considered if they are deemed relevant to the project. Additional requirements: Experience in working with spectroscopy methods, particularly Raman (micro)spectroscopy Experience in spectral data analysis in
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to develop new methods to better understand and exploit laser-induced thermoacoustic streaming. To achieve this, we will study fundamental interactions and transport phenomena related to thermal fields and
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communities of life and environmental sciences, in particular the Soil Chemistry group (25%). Drive and develop methods/sample environments toward studies of heavy metals and sulfur in real systems. Key
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advanced wireless technology with innovative computing to shape the future of cloud computing in 6G communications systems. The department offers a collaborative and inclusive culture that promotes
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resilience. Experience with advanced modelling techniques for logistics and supply chain analysis (e.g., simulation tools, digital twins, or data-driven optimisation methods). Knowledge of food quality and