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                for a PhD student with a strong background in tumor immunology or a related field. The successful candidate will contribute to the development of next-generation ADCs with enhanced immune-modulating 
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                in advanced CMOS technologies such as FDSOI and FinFET. Data converters (ADC and DAC) play a crucial role in such advanced CIM technology; hence, we are looking for a highly motivated analog and mixed 
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                Your Job: Conduct the assembly, verification, and calibration of a novel optical instrument in our Cleanroom-5 laboratory at the University of Wuppertal Work with a variety of calibration units 
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                Infrastructure? No Offer Description Area of research: Promotion Job description: Your Job: Conduct the assembly, verification, and calibration of a novel optical instrument in our Cleanroom-5 laboratory 
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                considers the transport of suspended matter (tracers); calibrating and validating the model against long-term data on hydraulic conductivity, water temperature, and dissolved oxygen from several rivers 
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                of superconducting qubits to quantify performance and identify limiting physical mechanisms Perform quantum device calibrations, benchmarking, and run quantum algorithms Presenting and publishing the research 
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                quantum device calibrations, benchmarking, and run quantum algorithms Presenting and publishing the research on an international stage To apply, please submit a complete CV, letter of motivation, university 
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                visualize the IAM2d in a suitable simulation environment, preferably Python, and to calibrate and validate it on naturalistic and experimental data. Ultimately, the IAM2d will be evaluated in various low 
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                collaboration (neuroscientists and device physicists) Your Profile: Master’s degree in electrical/electronic engineering, physics or related fields Strong skills in mixed-signal circuit designs (TIA, ADC, …) and 
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                under cyclone and synoptic wind loads. Develop and calibrate statistical and physical models for wind-induced structural responses using extreme value analysis and experimental data integration. Prepare