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Field
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College of Veterinary Medicine & Biomedical Sciences (VMBS) is an institution that represents 100 years of growth from a small school of veterinary medicine in 1916 to its present role as a major
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for high-performance infrared photodetectors and imaging systems. We invite applications for two postdoctoral positions focused on next-generation SWIR and room-temperature MWIR photodetectors based on III–V
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Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg | Magdeburg, Sachsen Anhalt | Germany | 2 months ago
natural and industrial systems, ranging from the manufacturing of crystalline products in the chemical and (bio)pharmaceutical industries to the formation of functional and toxic protein aggregates in
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lines. The work will combine live imaging, single-cell RNA sequencing, 10X Xenium spatial transcriptomics, multiplexed immunohistochemistry, calcium imaging and high-density multi-electrode array
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The postholder will join the Cader Lab at the Kavli Institute for Nanoscience Discovery, University of Oxford, to lead experimental work for an ARUK Major Project grant. The project will be
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-enriched and control diets with comparable energy density and macronutrient composition across experimental groups. The postdoctoral researcher will also document and analyze the experimental results, ensure
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iron status and cognitive functioning, mood, and quality of life. As part of these studies, the postdoc will gain a deeper knowledge of iron metabolism and learn the many factors that play a role in iron
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The postdoctoral appointee will be part of a multidisciplinary team developing an innovative electrochemical rotating packed bed reactor platform for energy-efficient separation of elements from
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-mantle NCMASF3 system; ii) Training a Mixture Density Network emulator on 106 thermodynamic evaluations; iii) Implementing a global MCMC Bayesian inversion of the SPARTANS tomographic model; and iv
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, or foundation models. Familiarity with atomistic simulations (e.g., density functional theory, molecular dynamics). Interest in developing broadly applicable machine-learning methods for physical sciences