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Field
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functionalities for quantum technology. The department hosts the ERC Consolidator Grant QPHOTON (PI Ville Maisi), which aims at building microwave photocounters as new measurement sensors for quantum technology
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academic research lab environment -Software programming for scientific simulations -Interdisciplinary and multi-physics relevant strong background -Design of computational algorithms for 1st /2nd order time
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self-adaptation capabilities. Three major challenges have been identified: (P1) modelling uncertain environments where robust, weakly supervised machine learning algorithms can be deployed to irrigate
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stations, small satellite antennas, drone antennas, phased array antennas, massive MIMO antennas, metasurfaces, bio-electromagnetics, and wireless sensors. Qualification requirements Appointment as postdoc
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., camera traps, thermal imaging, acoustic sensors) Practical skills in programming and analysis of large datasets Publication record in relevant areas Ability to communicate effectively in English, both
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | 3 months ago
experience in modeling of heat and moisture transfer, environmental simulation, and microclimate management in protected agriculture. Experience with calibration of environmental sensors and systems
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An already acquired Phd in Electrical Engineering, Computer Science, Applied Mathematics, or a relevant field Affinity for formal and simulation models, as well as algorithmic solutions to problems
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Towards combined quantum bit detection and spatial tracking using an arrayed single-photon sensor, Optics Express, 2021 Feasibility of quantum key distribution from high altitude platforms, Quantum Sci
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algorithms and circuits to enhance imaging quality and speed Creating efficient data acquisition and processing workflows for large datasets of skin nanotexture images Optimizing hardware-software integration
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dwarfs and/or the high-precision RV survey of solar-type stars being conducted with the NEID instrument on the WIYN 3.5m telescope; (2) improving technology, algorithms, and data analysis to mitigate