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transcriptomics and spatial lipidomics to create quantitative models of immune-metabolic communication across tissues The project combines controlled mouse models of maternal inflammation with advanced multi-omics
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to cutting-edge research on spatial reasoning, semantic technologies, and interdisciplinary AI for geosciences and geography. Where to apply Website https://www.academictransfer.com/en/jobs/356998/phd-position
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14 Jan 2026 Job Information Organisation/Company University of Algarve Research Field Geosciences Researcher Profile Recognised Researcher (R2) Positions PhD Positions Application Deadline 6 Feb
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postdoctoral researcher, who focuses on the data-driven development of micromagnetic modelling tools, as well as with a PhD candidate focusing on the paleomagnetic information stored in (statistical) ensembles
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position within a Research Infrastructure? No Offer Description The Department of Earth Sciences is looking for a highly motivated Postdoctoral candidate with a PhD background in Earth Sciences or another
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description languages such as HLS or VHDL are an advantage). Motivation to pursue a PhD and contribute to applied AI research. Excellent English skills. Where to apply Website https://jobs.uni-siegen.de/job
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will work within the Wolpin-Nowak laboratory (https://labs.dana-farber.org/wolpin-nowaklab/) as part of the Hale Family Center for Pancreatic Cancer Research (https://labs.dana-farber.org/halecenter) and
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of ASICs dedicated to the readout of AC-LGAD (Alternating Current coupled Low-Gain Avalanche Diode) sensors, capable of very good timing (~30 ps) and spatial (~20 um) resolutions, which will be exploited by
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: to train students, conduct academic and applied research and transfer knowledge to society at large. AGRO delivers post-graduate education to 5 000 students in total, among which 450 PhD candidates and 2 500
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, the temporal and spatial resolutions of these have so far been inadequate to capture climate extremes. PAST overcomes this obstacle, both from the side of proxy reconstructions and of climate modelling