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staff position within a Research Infrastructure? No Offer Description Title: “Synthetic Dataset Generation Technique to Optimize Neural Network Training for Seismic Data Prediction” Research Area
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of the envisioned underwater use case scenarios. The post-doctoral researcher will be responsible for the analysis and design of reconfigurable optical metasurfaces making use of optimization methodologies and
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Professor Alberto Bressan in the areas of hyperbolic conservation laws and geometric optimization problems. These include: well-posedness, convergence and error estimates for approximate solutions, analysis
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. Area of Research: Sustainable mineral processing, with emphasis on phosphates beneficiation and process optimization. Main responsibilities: Conduct literature review on phosphate ore and waste
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to be employed for the degradation and mineralization of per- and polyfluoroalkyl substances (PFAS) in water streams. At KTH, the focus is on the design, fabrication, and optimization of cavitation
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adaptive systems that jointly optimize morphology and control for real-world physical interaction. Requirements Ph.D. in Computer Science or a related discipline. Strong background in Machine Learning
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modeling, control, and optimization of power and energy systems with applications to maritime and coastal infrastructures (e.g., shipboard microgrids, port facilities, islanded communities, desalination
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epidemic data, with the aim to increase our understanding of how pathogens spread in populations, assess the impact of interventions, support policy making and optimize control strategies. Our approach is
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, optimizing, and validating procedures for RNA expression analyses; Introducing methods from the field of epigenetics (e.g., DNA methylation); Participating in research investigating: exposure levels
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, screen optimization robots, plate imaging robots/hotel, walk-in plate incubator rooms, and rotating-anode home X-ray sources) within the Crystallography Core located in the Hockmeyer Hall of Structural