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Max Planck Institute of Immunobiology and Epigenetics, Freiburg | Freiburg im Breisgau, Baden W rttemberg | Germany | 23 days ago
for Pore-C data Image analysis Programming in R and/or python Your profile We are looking for a motivated team player with strong communication skills and the desire to work in a dynamic environment
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Classification Title: Postdoctoral Position – Neuroimaging - Developmental Network Neurobiology Laboratory Job Description: The University of Florida, Department of Pediatrics, Neuroimaging
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will include examining fiber properties such as crystallinity, pore size distribution, fiber surface content, and metal ion composition, as well as conducting laboratory-scale dye uptake trials with
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welcoming applications for a fully funded post-doctoral position (2 years, extension possible). Our group studies how grasses and succulents build and pattern their ‘breathing pores’ or stomata by combining
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generation, targeted atomistic simulations, structural descriptor extraction, and predictive models. The work will aim to establish links between local pore geometry, structural disorder, sodium adsorption
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films. If the post is extended, the work moves to catalysis: coupling photosensitisers to deliver electrons to pore-bound metal ions, forming bimetallic Cu/Pd nanoclusters, and testing them in
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heat loss. Common thermal insulation materials are highly porous and contain open or closed pores filled with gas. In 2021, only 10% of insulation materials were derived from renewable resources. Plant
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of improving human health. Aligned with Rutgers University–New Brunswick and collaborating university wide, RBHS includes eight schools, a behavioral health network, and six centers and institutes that focus
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, or phytoliths) from marine or lacustrine sediments, and/or processing seawater, pore-water, river-water, or groundwater samples for dissolved silicic acid analysis. Operating experience on a Thermo Scientific
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from patients with psychotic illnesses, curate and process these datasets, and derive both functional and structural brain networks. This will include using our group’s new Morphometric Inverse