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Applied Sciences has a vacancy for PhD Research Fellow in Semi-Autonomous Teleoperated Robots The PhD research fellow will be part of the PhD programme in Computer Science: Software Engineering, Sensor
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-of-concept for a groundbreaking real-time dose verification system which is adaptable to different proton therapy treatment systems. This proof-of-concept detector system will be tested under
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-time control & optimization algorithms. Pilot demonstrations on partner radio telescope facilities such as APEX and the Sardinia Radio Telescope may be possible, depending on the interest of the PhD
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properties. The direct integration of such nanomaterials in microelectronic chips / CMOS can enable fabrication of compact, wireless, power-efficient, low-cost smart sensors (e.g., gas and pressure). In this
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mathematical modelling tools. Excellent knowledge of programming languages such as R, Python, Julia, etc. Familiarity with AI algorithms and Machine Learning Fluent oral and written communication skills in
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the renewable energy management system by developing novel real-time control & optimization algorithms. Pilot demonstrations on partner radio telescope facilities such as APEX and the Sardinia Radio Telescope may
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of associated ecosystems under events of wastewater discharge, industrial discharge, and urban runoff. In the Muncipality of Ålesund in Norway, a network of sensors has been installed in a drinking water source
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borehole electromagnetic data during drilling. This includes the further development and application of fast solvers for Maxwell’s equations and nonlinear inversion algorithms that we have already developed
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complex geometries represents a hazard. It is also relevant to compare the SoK for similar systems using different fuels, and to explore the predictive capabilities of consequence models through blind
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such as R, Python, Julia, etc. Familiarity with AI algorithms and Machine Learning Fluent oral and written communication skills in English Desired qualifications: Experience with research on epidemiological