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for in vivo studies. Leveraging recent advances in microscopy and voltage indicators, we can now observe voltage signaling within different compartments of a single cell in live animals, enabling us to
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low-temperature plasmas, covering deposition, fundamental aspects and process optimization trough AI. The work will be performed at Ecole Polytechnique in Palaiseau, France. Starting date : December 2025 at last
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. Empa is a research institution of the ETH Domain. In the Laboratory of Advanced Fibers, we are a multidisciplinary team of researchers working on different topics with particular focus on surface
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, extinctions, and environmental change; ● Running simulations and scenario analyses to explore how different discounting rules or time preferences shift optimal conservation choices; ● Fitting models
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each other. This necessitates a multidisciplinary approach bringing together optimization, machine learning and behavioral modeling methodologies. In FlexMobility we propose a holistic approach to design
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, and each core, and eventually each mode, must benefit from controlled gain, so as not to create a gain difference between cores, and to guarantee the balance of the system as a whole. While rare earths
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these technologies can only read DNA fragments of limited length. We enable biological interpretation of these sequencing data sets by developing algorithms based on graph theory, discrete optimization and machine
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the focus areas are stochastic optimization and equilibrium modelling in energy systems and markets. Position 1: PhD Project - “Optimisation of household demand response” The project aims to achieve
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additional mechanical losses. Unlike conventional static devices, the vortex generators studied here adapt their shape and/or position naturally in response to flow conditions. This self-adaptative behavior
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theory, discrete optimization and machine learning. In this PhD position you will focus on strain-aware genome assembly, variant calling and strain abundance quantification for viruses, bacteria and yeasts