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to enhance efficiency, power density, and performance in applications such as high-performance computing (HPC) systems and artificial intelligence (AI) accelerators. Responsibilities and qualifications As a
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regarding the availability of aquatic biomass in the future and regarding the environmental performance of emerging technologies to harvest and exploit such biomass when scaled up and integrated
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that the candidate will learn to perform rigorous and relevant research using a combination of quantitative and qualitative research methods and extend collaborations with key academic and industrial partners at both
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learning approaches and develop a theoretical understanding potentially based on differential geometry. In particular, deep neural networks perform surprisingly well on unseen data, a phenomenon known as
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analytical skills for the characterizations of membranes and saline solutions, such as Scanning Electron Microscopy (SEM), Fourier Transform Infrared Spectroscopy (FTIR), High-performance liquid chromatography
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protocols Use analytical skills for the characterizations of membranes and saline solutions, such as Scanning Electron Microscopy (SEM), Fourier Transform Infrared Spectroscopy (FTIR), High-performance liquid
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Management accounting and control and project management Performance measurement and management systems The Department will give priority to applicants with (a) a strong project proposal with the potential
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to perform an experimental PhD in Physics in the area of Quantum optoelectronics and 2D materials. The position is available from 1 October 2025 or as soon as possible thereafter. The successful candidate will
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in this assessment is answering prospective questions regarding the availability of aquatic biomass in the future and regarding the environmental performance of emerging technologies to harvest and