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computing, and could provide a physical route to Ising and Boltzmann machines that operate on dynamical rather than static states. Job description Build and operate a programmable network of coupled
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combines high-throughput screening, directed evolution, and single-molecule biophysical methods, and spans projects from fundamental protein science to translational applications. Project background
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, indicators and survey information. The division combines macroeconometric modelling with data science methods for nowcasting, high-frequency indicators construction, machine learning, time series
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dimensionality can be used to control and create functionality in complex inorganic solids. We are currently establishing a laboratory for thin-film synthesis using physical vapor deposition methods, structural
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mobility and urban logistics. Large-scale pilots in four European cities validate methods in real traffic, support cross-city learning, and ensure applicability under diverse safety, infrastructure and
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life to emerge. Developing reliable methods to detect reliable traces of life (biosignatures) – whether through remote sensing or direct onsite measurements – requires significant innovation. These
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and the mechanisms that enable life to emerge. Developing reliable methods to detect reliable traces of life (biosignatures) – whether through remote sensing or direct on-site measurements – requires
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experimental and empirical methods. Job description The doctoral researcher will focus on the role of AI in judicial decision-making, with an emphasis on legal reasoning, behavioral responses, and
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-relevant questions. We work with macroeconomic, microeconomic, firm-level, household, geospatial and international datasets and apply modern econometric methods, including panel-data, time-series and causal
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regions. Job description The research focuses on investigating/developing generic methods and algorithms in the context of multi-modal synthetic aperture radar (SAR) for the estimation of environmental