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-generation magnetic materials. The goal is to optimize them for technological applications, including renewable energy systems and medical magnetic resonance imaging. Project Overview You will investigate
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-speed detector system at SLS 2.0, ensuring robust and high-fidelity imaging Optimizing imaging strategies, including rational data acquisition approaches and high-sensitivity measurement techniques
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, conductance, analysis and troubleshooting standard molecular biology experiments Enthusiasm to establish and optimize new protocols and techniques Ability to follow GLP compliant SOPs and precision in
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and deployment of research software for data processing and interactive seismological visualisations, optimize data storage and distribution, and ensure system reliability through advanced monitoring
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the Accelerators and Beam Physics (ABP) group within CERN’s Beams department, responsible for optimizing beam performance across the entire CERN accelerator chain, from the source to the LHC. The ABP group also
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and animal models, optimizing lead candidate therapeutic agents, performing safety and biodistribution studies, characterizing and recruiting patients for the clinical trials, develop clinical outcome
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for integrated carbon capture and conversion technologies. Your tasks Synthesize and characterize materials for heterogeneous catalysis applications Develop synthesis-structure-properties relationships to optimize
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validate predictive algorithms for biomarker discovery Optimize data integration techniques for multi-omics and clinical datasets Perform trend analysis of bacteria-containing samples over time to observe
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Zürich (pd|z) at ETH Zurich a position in the field of design for additive manufacturing Project background Additive manufacturing (AM) offers unique advantages to optimally combine economic and
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position focused on light-driven CO2 capture. Job description Our group is actively developing a novel photoacid-based approach for efficient CO2 capture, optimizing both the local chemical environment in