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. Demonstrated experience in analysing mobility, exposure, environmental or other spatially and temporally referenced data. Strong quantitative and statistical analytical skills. A strong publication record
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sample preparation, HRMS-based chemical analysis, data processing, statistical evaluation, scientific communication, and collaborative research. About the position We are seeking a PhD student who will
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interactions at both local and larger spatial scales. The PhD position is in a project which will support effective strategic planning for coastal marine restoration by developing key performance indicators
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and damaging storms, and cascading risks such as bark-beetle outbreaks. Forest owners and regional authorities need spatially detailed, timely information on where climate stress is emerging, and which
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: PhD in evolutionary biology or systematics. Experience of data management and statistical analysis in R. Working knowledge of phylogenetic inference and comparative macroevolutionary analysis Ability
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education to enable regions to expand quickly and sustainably. In fact, the future is made here. The Department of Mathematics and Mathematical Statistics is opening a PhD position in spatial statistics
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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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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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, 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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(USBE) is recruiting one to two PhD students in Statistics for the research project “Next-Generation Latent Variable Models for Social Data Science”. Application deadline: November 4, 2026. We