301 developer-"https:"-"https:"-"https:"-"UNIVERSITY-OF-MACEDONIA-RESEARCH-COMMITTEE" positions in Switzerland
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, enhance diagnostic accuracy, optimise workflows, improve risk assessment and communication. Developing AI models that address these needs is particularly urgent in ageing societies, where rising patient
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for an initial period of 2 years, with the long-term vision of a permanent role. In this multifaceted position, you will be responsible for the operational and strategic development of our education offerings and
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30%-50%, Zurich, fixed-term The Institute for Spatial and Landscape Development and the research team “Spatial Development and Urban Policy – SPUR” led by Prof. Dr. David Kaufmann invite
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builds on an existing graph-based, stretched-grid regional forecasting model developed at MeteoSwiss and is embedded in the Anemoi framework initiated by ECMWF. The objective is to develop and evaluate
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disease and to develop pioneering therapies benefiting the lives of patients in areas of unmet need. With more than 70 research groups and 800 employees, the Department of Biomedicine is the largest
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modelling. Project background Geothermal energy projects can induce seismicity during both fluid injection and fluid production through by complex hydromechanical processes in fractured rock. Development
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” at ETH Zurich. The project develops and evaluates AI-based prototypes to support judicial decision-making, with a focus on real-world applicability. It combines machine learning, legal applications, and
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of material science. Examples are the use and development of muon instrumentation for the study of quantum and energy materials. The research program of this new professorship will be able to take advantage
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development for quantum key distribution and (2) TFLN circuit development for quantum enhanced precision measurements. This PhD project aims to further advance the nanofabrication of TFLN photonic circuits
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-scale geospatial and Earth system datasets, within the NCCR CLIM+ program. The role bridges climate science and AI, developing novel methods for climate data analysis, downscaling, and synthesis using