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Field
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motivated individuals to join our dynamic team as Postdoctoral Associates. Scope of Work: • Lead the design and synthesis of novel chemical entities. • Optimize reaction conditions and processes
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to uncover novel immune cell states and mechanisms. Develops and optimizes new experimental protocols. Summarizes findings and contribute to manuscript preparation and grant applications. Mentors junior lab
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. The group will be contributing to the Physics Modeling (MC software, MC validation and Pileup modeling), the MET High-Level Trigger validation, optimization and performance studies, and to the heterogeneous
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simulations and multiscale spatial-omics data. • Integrate uncertainty quantification into scientific machine learning workflows and optimize the design of computational (ABM) and wet-lab experiments
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without boundaries. Position Description Research Assistant will conduct research focusing on the following tasks: Creating and optimizing computational platform for the design of nanophotonic structures
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nanomaterial-nucleic acid hybrids for optimal device bio- and gas sensing, as well as for optoelectronic applications. About You The candidate will have experience in materials science research and ideally DNA
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complementary techniques such animals handling. Analyze data, interpret results, and develop models to optimize nano wipe formulations for enhanced selectivity and biocompatibility. Collaborate with team members
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). The ideal candidate will have: A PhD in environmental science or closely related discipline by the start date of the appointment Broad understanding of eco-evolutionary optimality concepts and modelling
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financial models. The position will include the analysis of hydropower operation and expansion, optimization and equilibrium, market penetration, and interdependencies. This description documents the general
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the areas of Artificial Intelligence (AI) for materials science, with an emphasis on structure-property-relationships, materials optimization, materials under extreme conditions, and generative AI. Candidates