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Field
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. disaster Recovery & Business Continuity: architect fail-safe configurations for zero downtime. network Management: optimize control planes, policies, and performance tuning. bandwidth Aggregation: unlock
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on melting performance. Apply a multiscale characterization strategy to link microscopic phenomena to macroscopic process outcomes. This fundamental research will contribute to optimizing the HyDR process and
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combines methods from ecology, industrial design, and engineering to optimize and upscale and biodegradable structures that temporarily mimic key emergent traits using industrial-scale additive manufacturing
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are looking for! Information We invite highly motivated students with a strong background in mathematical systems and control theory, and optimization to apply for the PhD position within the Dynamics and
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, optimization of orbital manoeuvres (low- and high-thrust propulsion, including rocket ascent trajectories), calculation of propellant budget, analysis of launch window, analysis of orbit perturbations and
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responsibilities will include: - coordinating and carrying out a scientific research project. - actively participating in multidisciplinary meetings and project teams. - developing and optimizing experimental
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Design and optimize epitaxial layerstacks for lasers and modulators to meet target performance Execute epitaxy process steps as part of full PIC fabrication flows in collaboration with process
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STM systems, each optimized for ESR-STM experiments. As a postdoc, you will be responsible for the daily operation of the lab. Together with the dedicated technical staff, you will ensure
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estimation). They have however been developed and tested using mostly simulated HydroGNSS data, or data from past GNSS-R missions, and as such they may be sub-optimal when applied to real HydroGNSS data
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University Medical Center Utrecht (UMC Utrecht); yesterday published | Netherlands | about 1 month ago
fundamental methods research to guide in these analytical challenges. In this PhD-project, you will propose and evaluate new AI methodology to ensure that organoid data can be used to optimally predict relevant