20 algorithm-development-"UCL" Postdoctoral research jobs at Forschungszentrum Jülich in Germany
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Your Job: Developing and implementing QC algorithms (QAA, QAOA, QSVM), quantum AI algorithms, use case adapted algorithms to test and benchmark latest technology focusing on gate-based QC Advancing
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Your Job: Design and development of a modular high throughput sample environment for chemical hydrogen storage investigations under realistic conditions Design, optimization, and testing of sample
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- conducting processors with respect to practical short-depth (NISQ) quantum algorithms Cooperate and actively work with experimental partners developing quantum processors using these technological platforms
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Your Job: The project focusses on Tans-Neptunian objects. The key objective is to develop ML tools that provide a quantitative assessment for the quality of fit between observed properties of Trans
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Your Job: Responsible scientist for the operation of the X-ray photoelectron spectroscopy (XPS) device Upgrade and development of the device for future projects Research on fusion relevant materials
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Your Job: We are looking for a highly motivated postdoc to join the neutron backscattering spectrometer team to support the instrument development program for the instrument SPHERES. To further
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Your Job: Development and optimization of high-temperature heat pipes for fusion applications Numerical simulations of heat transfer and fluid dynamics in heat pipes using COMSOL, ANSYS, or similar
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spectroscopy (XPS) device Upgrade and development of the device for future projects Research on fusion relevant materials regarding composition and functionality Collegial cooperation on present topics and
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reports Develop and apply software tools Document software and data according to the FAIR data principles Contribute to workshops and training activities Your Profile: Master with subsequent PhD degree in
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Your Job: Develop and refine detailed models of power electronics and their control systems for stationary battery storage applications Focus on system identification and parameter optimization