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Assisting with formulation of lipid nanoparticles and optimization of lipid nanoparticles for in vitro and in vivo systems. Assisting with Physicochemical characterization of lipid nanoparticles LNPs using
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and engineers on developing resource-efficient, adaptive learning frameworks for complex data environments. Key Responsibilities: Design and implement ensemble learning algorithms and optimization
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-driven methods to support materials discovery and optimization. Analyze research data, publish results in peer-reviewed journals, and support research proposal development. Supervise and mentor students
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) focuses its research on Solid State Chemistry, Materials Science and Chemistry and Process: designing, preparing, shaping and characterizing materials in order to discover, control and optimize specific
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go on to become leaders in their field. We provide an optimal combination of high advanced imaging volume, variety of cases, experience with protocoling, academic and research time, to produce very
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Lehrstuhl für Angewandte und Computergestützte Mathematik | Aachen, Nordrhein Westfalen | Germany | 6 days ago
(e.g., C/C++, Python, Fortran, Julia, Matlab) Good analytical skills Excellent written and communication skills in English Experience in particle-based methods or numerical optimization is a plus
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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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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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to develop sustainable solutions for technological greenhouses and vertical horticulture systems, including biotechnologies and clean energy sources. Using innovative technologies, it seeks to optimize energy
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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