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Field
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the optimization and validation of new assays in compliance with regulatory standards to make them clinically available (e.g., IVDR, ISO 15189, ISO 17020) Contribute to the certification and implementation
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An international, committed, and collegial working environment Excellent scientific equipment and the latest technology Qualified supervision by academic colleagues Optimal conditions for balancing work and private
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electrolyte and electrodes and their influence on the overall performance and safety of sodium-based batteries and their chemistry You cooperate with partners from theory to optimize charge transport
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and control of variables that influence the coating outcome. This data not only aids in optimizing production processes but also plays a crucial role in compliance with industry standards and
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analysis and interpretation for workflow optimization Process window assessment for application-specific integration requirements What you bring to the table Education: Bachelor's degree in Physics
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quantum computing as well as experience with cryogenics, signal delivery, microfabrication, materials optimization, and microwave control are highly preferred qualifications Please feel free to apply
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on the recently published DeepRVAT framework, which leverages advances in machine learning to learn an optimal rare variant aggregation function in a data-driven manner. You will have the opportunity to spend
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, operation and optimization of fs to ps laser sources Characterization of electrostatic potentials and excited carrier concentrations using off-axis electron holography Mapping of charge carrier lifetimes by
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Quality« , we focus on increasing productivity and cost-effectiveness in production systems by analyzing and optimizing the quality of both processes and products. In collaboration with Carl ZEISS Vision
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main focus on the development of control software. ▪ You will design and implement advanced control and readout protocols and optimize experimental characterization workflow,s leveraging machine learning