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, nanostructuring, porosity) and their surface/interface physico-chemistry (functionalization, topography) in order to modulate or optimize their properties. The heterogeneous and complex structure of the studied
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for membrane biophysics and drug‑delivery research. While conventional small‑angle scattering (SANS/SAXS) provides exquisite nanoscopic structural detail, it rarely captures the crucial mesoscale dynamics
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and Machine Learning, with a focus on studying geometric structures in data and models and how to leverage such structure for the design of efficient machine learning algorithms with provable guarantees
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Posting Details Posting Details Job Title HR Process Optimization Lead Requisition Number RE53191 Working Title Department Name 3J510:Human Resources Administration Work Location Lexington, KY Grade
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in cancers of unknown primary (CUP). Your Role You will join Subproject 3 (Model Alignment and Optimization), led by PD Dr. Keno Bressem (https://scholar.google.com/citations?user=wIEgwbkAAAAJ&hl=en
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-electron microscopy (cryo-EM), particularly in image reconstruction and 3D volumetric analysis of macromolecular structures. Rather than aiming to incrementally optimize existing pipelines, we are interested
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staff position within a Research Infrastructure? No Offer Description Title: “Synthetic Dataset Generation Technique to Optimize Neural Network Training for Seismic Data Prediction” Research Area
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laser structures for backreflection-resilient operation Develop and optimize silicon plasma dispersive devices for on-chip optical isolation Fabricate heterogeneous lithium tantalate photonic isolators
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currently no flexible sensors that can be integrated into garments or structures and capable of simultaneously monitoring chemical exposure, mechanical strain, and thermal conditions in real time. Recent
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on AI tools and on the analysis and synthesis of peri-odic structures to identify the most suitable AI-based optimization techniques for the design phase. This will be followed by the prototyping and