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at the interface between stochastic modelling, signal processing and data science. Ultimately, the project will develop key indices that can be used to assess the health of the soil ecosystem. Such indices
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techniques, or a profile with initial training in biology/microbiology with a minimum of skills in physics and engineering (instrumentation, signal processing), with a strong desire to invest in engineering
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intermediate processes to restore DES composition for reuse. It will investigate the performance of existing DES(s) on mixed battery chemistries to propose a synergistic ionometallurgy design. Lastly, it will
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adipose tissue. In particular, we will study the role of different membrane receptors and their signaling pathways in the browning process. The various techniques used will include cell biology and genetic
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these challenges by exploring and developing advanced methodologies for wind turbine drivetrain condition monitoring. The successful candidate will primarily focus on: Signal processing techniques: Developing and
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will exploit multidisciplinary consortium expertise spanning design, modelling and simulation of photonic systems, sensor systems, signal processing and device manufacturing, development of machine
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? No Offer Description PhD position in Computational mechanics The Computational Mechanics Group in the Department of Mechanical and Process Engineering of ETH Zurich is seeking one doctoral student
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Chemistry and Microbiology Cluster (CME Cluster), whose research focuses on understanding the mechanisms (physico-chemical and (micro)biological) at different scales (from the molecule to the ecosystem
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training in oceanography, climate science, Earth Observation, and data science within a highly international research team. The Chair of Data Science in Earth Observation develops innovative signal
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aims to rethink how soft robots can interact with their environment, focusing on large-area, multi-point contacts—similar to how an elephant wraps its trunk around an object. Unlike traditional robots