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design theory that facilitates multi-objective, multi-disciplinary optimization of data center design considering location, building operations, materials, energy use, water use, cooling system design, and
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, and optimize automated intrinsic labeling systems (13CO2, 2H, 57Fe, etc.) for crops that will be used in forthcoming human clinical studies. The postdoctoral associate will also learn how to develop
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design theory that facilitates multi-objective, multi-disciplinary optimization of data center design considering location, building operations, materials, energy use, water use, cooling system design, and
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imaging is required. Job Duties Experimental Design & Execution: Develops and optimizes protocols for live-cell calcium imaging to study virus-induced calcium signaling. Performs molecular virology
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. The successful candidate will work on the development and integration of battery energy storage systems, develop control methodologies for the optimal operation of battery energy storage systems for critical
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of neuronal and vascular responses; Contributing to the instrumental development of the system (optimization of detection, illumination control, multi-camera synchronization); Analyzing and interpreting
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in next-generation antibody engineering (bi-/multispecific and multimodal formats), phage display, gene-editing–based molecular and cellular glycoengineering, and optimized mammalian cell systems
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optimizing color selection for attentional purposes. The successful candidate will be required to design, program and conduct EEG-experiments, analyze and interpret EEG and behavioral data and present results
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highly complex workflows. We aim to develop optimization models and algorithms to improve wafer processing sequences across semiconductor manufacturing tools, with the objectives of reducing cycle times
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the most informative polarimetric parameters and optimal wavelengths for detecting abiotic stress. This approach will contribute to more accurate digital phenotyping, supporting sustainable crop monitoring