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Field
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, populations, and types of amenities remains largely unexamined. Why 15, rather than 10, 20, or 30 minutes? The assumption that the health and wellbeing benefits of this model will be evenly distributed is
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department in the ISSA expertise center that develops advanced AI solutions involving AI models, algorithms, implementations, sensors and hardware for small scale edge up to large scale distributed and hybrid
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PhD fellowship 2 – Alexander von Humboldt and French-German Networks in the Early History of Ecology
–2030), led by Principal Investigator Stefanie Buchenau. The project seeks to uncover the philosophical dimensions of ecology as introduced by Ernst Haeckel in his General Morphology (1866), and to assess
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September–October 2025. The objective of this thesis is to use data of the temporary and permanent seismic arrays to generate new, high-quality seismic images of the structure of the crust and upper mantle
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24th April 2026 Languages English English English The Department of Electronic Systems has a vacancy for a PhD Candidate in Distributed Machine Learning Apply for this job See advertisement This is
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of Physics, Umeå University. We will study how currents in the ionosphere cause rapid changes in the ground-level magnetic field and generate geoelectric fields and telluric currents, and how these in turn can
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knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position Distributed machine learning takes advantage of communication and
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economy-wide modelling. Assess the distributional impacts of network investment using macroeconomic models such as Input Output and Computable General Equilibrium. There is a unique the opportunity to gain
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. The temperature field generated by the interaction between the arc and the material plays a critical role in determining the microstructure, residual stress, and distortion of the built parts—all of which
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for next-generation (6G) communication systems. The project focuses on integrating Artificial Intelligence (AI) and Machine Learning (ML) capabilities into distributed cloud-edge infrastructures to enable