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Field
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also scalable and implementable in field scenarios. By integrating both software and hardware considerations, this project aims to advance the state-of-the-art in spectral monitoring and signal
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/Python/LabVIEW for data analysis and software experimental control. Also required are strong written and oral communications skills, interpersonal skills for collaborative science and mentorship, problem
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challenges. * Advancement of quantum processors and software stacks to support the running of these algorithms. * Industrial research in optimisation and AI/ML to support scaling of algorithms
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. • Strong expertise in geospatial data analysis and machine learning techniques applied to Earth Observation data. • Proficiency in geospatial software and platforms such as QGIS, ArcGIS, or Google Earth
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qualifications, it is desirable that the applicants have: Research background in one or more of the following areas: massive MIMO, near-field propagation, channel estimation. Experience working with software
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Austrian Academy of Sciences, the Institute for Habsburg and Balkan Studies (IHB) | Austria | 30 days ago
tools Familiarity with software applied in digital humanities Independence, flexibility and ability to work in a team Our Offer A position in an innovative and internationally active environment crucial
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Python programming skills are required, and prior experience with developing open-source software or databases will be considered a plus. Candidates should apply at: https://puwebp.princeton.edu/AcadHire
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readout. o Integration of optical tweezers, cavity QED systems, or quantum sensing technologies. · Technical Development: Innovate in vacuum systems, laser stabilization, and real-time control software
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disse informasjonskapslene. Databehandlingsansvarlig: HAProxy software Formål: Kreves for at nettsiden skal fungere riktig. Personvernregler for databehandling: HAProxy software - Personvernregler
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radiation and using Monte Carlo simulation software (MCNP, GEANT4). Knowledge of multi-element analytical techniques (PIXE, XRF, ICP-MS). Valorization of Industrial Waste: Experience in developing processes