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This position is conditional on final 2026-2027 budget. The Center on Aging and the Life Course (CALC) at Purdue University (https://www.purdue.edu/aging/ ) is currently accepting applications for a one-year
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. Model transition pathways for the ABEL technologies to integrate into existing or new value chains. Minimize energy and resource use through efficient heat exchange, waste heat recovery, and optimized
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of electron-transparent TEM lamellae and specimens Operation and optimization of ultrafast laser systems (fs–ps range) and optical setups Characterization of electrostatic potentials and excited carrier
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algorithms. model and optimize end-to-end physical-layer performance, hardware non-idealities, and overall power consumption. focus primarily on space and security topics (satellite communications, reliable
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desorption methods; Applying and optimizing a minimally intrusive vapor-phase isotopic exchange method (²H/¹H and/or ³H/¹H) to quantify the accessibility of reactive sites within insoluble organic matter
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experience in power electronics (10%) 2. Design and optimization of power supplies. (20%) 3. Modelling and control of power converters and energy conversion systems (DC Microgrids,…). (20%) 4. Digital control
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detection in space applications. The activity will include numerical electromagnetic modelling, cleanroom fabrication, and optical/electrical characterization aimed at optimizing resonance control, absorption
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includes system operation, continued development, and performance optimization. The successful candidate will collaborate closely with the quantum metrology group at the University of Bonn and the geodetic
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dedicated, low-energy electron beam ion trap (EBIT) optimized for the production of highly charged ions of light nuclei that remain beyond the reach of storage rings. This EBIT, a central element of the
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optimized for real-time processing on resource-constrained devices? How can interpretability be ensured for complex AI models used in energy systems? Responsibilities and (foreseen) tasks: Develop advanced AI