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Field
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studies ranging from the development and preclinical evaluation of radiopharmaceuticals to biological characterization, quantitative image analysis, and assessment of treatment response. Within the research
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cognitive agent embodied in a humanoid robot Unitree G1 which will collaborate with a human partner to solve a spatial problem (e.g. 3D puzzle). The tasks to be carried out are: (i) scene understanding
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Institute of Clinical sciences, Sahlgrenska academy, University of Gothenburg | Sweden | 3 months ago
experiments, and high-dimensional spectral flow cytometry for detailed immune profiling. Computational analysis of multi-parameter cytometry data, as well as multiplex spatial analyses of tissue specimens, will
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cycling in terrestrial ecosystems around the globe; from arctic tundra to tropical rainforests and semiarid grasslands. We are specifically interested in aspects influencing the spatial and temporal
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by Digital Futures to map urban air temperature at high spatial and temporal resolutions. Cities face rising urban heat, both from sharp spikes and prolonged hot periods; however, producing these high
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for visualization of scientific data. Currently, InfraVis employs over 50 experts across nine universities. CIPA is Lund University’s local infrastructure for image processing and analysis. CIPA is also the
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(NC). In the project, we aim to establish a reliable analysis package for nitrocellulose. Your role is to develop and validate methods for the key properties of NC – including degree of substitution
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of battery cells, as well as electrochemical testing and spectroscopic materials analysis (primarily X-ray photoelectron spectroscopy, XPS). The project is carried out in close international collaboration, and
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projects. The research is of international quality, and we collaborate with researchers around the world. Within the area of Energy system analysis, the research is targeted at the transition to a
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distillation, membrane processes and sorption. You will carry out laboratory and smaller pilot trials on the most promising solutions, perform a techno-economic analysis and propose a greener NC process. Flow