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and data analysis), synchrotron-based techniques, machine-learning and non-learning based approaches to data analysis, and familiarity with unconventional superconductivity. Responsibilities: • Perform
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Theory, Department of Environmental and Energy Sciences. Become a part of the team and contributing to research on current and future mobility service usage and attitudes among car and non-car owners
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(https://github.com/LDMX-Software/ldmx-sw ), written in C++, maintained on github and configured via python. You will work with .root files and explore different event generators as well as machine
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systems, from the physical fabrication of flexible printed circuit boards (FPCBs) to the implementation of machine learning algorithms for real-time signal analysis. The postdoc will collaborate in a
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of quantum walk algorithms, variational quantum algorithms and their optimization, adiabatic quantum computation, and quantum machine learning. Theoretical and applied research into the capabilities of quantum
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. Furthermore, job duties, responsibilities and activities may change at any time with or without notice. Required Qualifications: Education: PhD in Microbiology, Immunology, Biochemistry, Molecular Biology, or
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collaborators. Requirements: Applicants should have a PhD in Computer Engineering, Computer Science, or a related field. Extensive and sound knowledge of ML, AI, DNN, LLMs/VLMs, Multimodal LLMs, RAG, Agentic
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-resolution imaging implement and test novel instrument concepts based on astrophotonic technologies (including the photonic lantern and photonic integrated optics), by way of computer simulations, laboratory
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geophysical monitoring, data integration, and the development of predictive models and visualization tools. Candidates should have a PhD in geophysics, hydrology, environmental engineering, or a related
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gravitational effects on entangled photons for shining light onto the interface of quantum physics and gravity? Can we exploit quantum photonics technology for novel quantum machine learning, quantum computing