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of vibrational probes to increase contrast. Yet, in practical applications, MIP often lacks sensitivity, spatial resolution and the ability to accurately quantify specific chemicals in complex samples. The project
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of spatially separated EEG channels Applyjng optical flow analysis Applying principal component analysis on multichannel data Pedagogical competence Great emphasis will be placed on whether the applicant, based
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of these interactions into soil and ecosystem models. Depending on the selected candidate, the research project can focus on statistical analysis of literature data, process-based modelling, or a combination of the two
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planning. The project combines agent-based modelling, large-scale mobility data, transport networks, generative modelling, resilience indicators, and equity analysis. A central goal of this recruitment is to
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, statistics, applied mathematics, GIS, or spatial analysis. A master’s thesis or research project related to mobility, cities, networks, infrastructure, human behaviour, resilience, sustainability, disruptions
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power. The work involves quantifying conflicts and synergies between different sustainability goals in the forest landscape using simulation and optimisation. The analysis will be based on spatially
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the implementation of a 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
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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