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. This includes research on the optimal lithography process. Here, piecewise interference lithography will be investigated, the so called SMILE-process (Stepped Mask Interference Lithography Exposure). Objectives
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awareness (SA), like our work on Situational Graphs (S-Graphs), improve on existing techniques by combining 3D environmental maps with detailed knowledge about objects into a single, optimized model. First
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characterization of optimal target proteins and complexes, involving their recombinant expression and purification in bacterial and eukaryotic systems. Characterization of best dopaminergic cell models (e.g., SH
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of HPLC-MS systems (experience with Q-TOF MS systems is an advantage) experience with the creation, optimization, and implementation of HPLC-MS methods, especially in the field of biomacromolecules
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microbiomes to optimize end-of-life material processing and circular resource recovery. This position will be part of the UT-ORII’s Circular Bioeconomy Systems (CBS) Convergent Research Initiative (CRI
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and quantum annealing for physics-driven optimization problems is also part of the research portfolio. Detector R&D for future facilities, leveraging Purdue’s infrastructure for detector development
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the attached job pack. Duties of the Role You will undertake a PhD at the University of Essex and deliver DC15: “Nature-Inspired Optimization Strategies for Quantum Network Routing: Leveraging Decoherence
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-objective, real-time) and supply-chain optimization; PdM and RUL with health monitoring; digital twins/smart factories, cross-site transfer and federated/edge learning; uncertainty estimation and calibration
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and image data processing. Specific knowledge related to neural network design, training, and optimization is required. You will be joining a group with core expertise in sensor data analytics from
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cancer therapeutics. Experience in cell-based therapeutics is preferred. The Postdoc will develop and optimize novel dendritic cell and T cell therapies against cancers using sophisticated immunogenomic