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Field
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Circuits Project description: Neuronal synapses are remarkably heterogeneous and dynamic structures that vary widely in molecular composition, nanostructure, and signaling strength. This rich variety
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and processes for energy efficient separation: Development of novel structuring approaches Manufacturing and characterization of monoliths Geometry and process optimization Both positions will be
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staff position within a Research Infrastructure? No Offer Description This research project aims to develop a synthetic dataset generation technique to optimize the training of neural networks (NNs
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on methodological development in cryo-electron microscopy (cryo-EM), particularly in image reconstruction and 3D volumetric analysis of macromolecular structures. Rather than aiming to incrementally optimize existing
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scale, will be characterized in terms of their structural properties and chemical composition. This research is part of the international project (ANR-DFG) “OPTIMIC” involving French partners Dr. Dorian
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hydrate–based carbon capture. The work will include reaction optimization, purification strategy development, scale-up toward bulk production, and exploration of alternative promoter candidates
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of the experimental approach will include: Bayesian reconstruction of events on billion-year timescales, determination of optimal embeddings and encodings for protein structures, multiple structural alignments
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of novel ultrafast laser technologies for remote detection. Specifically, this position involves research on generation of widely tunable GHz-THz femtosecond pulse bursts to optimize laser-matter coupling
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of developing oxide ceramic materials and components for anodes of ammonia-fueled solid oxide fuel cells, including optimization of synthesis and processing conditions, and detailed characterization (structural
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Valorization, Sustainable Materials for Non-Pneumatic Tires, Sustainable Materials for Next Generation of Pneumatic Tires, Structure-Process-Properties Relationships. Do you want to know more about LIST? Check