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‘, bridges the different techniques developed within the cross-area imaging and gives support to all researchers dealing with image processing challenges. By focusing on automation and enabling correlative
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different policies on market outcomes, such as EV subsidies, domestic content requirements, trade policies, amongst others. Recent PhD in Economics (or related discipline) with a clear interest in mining and
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date). Strong background in power systems analysis (OPF, state estimation) and numerical optimization/control. Proficiency with Python/MATLAB and power-system toolchains (e.g., MATPOWER/OpenDSS
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candidate will be part of a diverse team of experimentalists, theoreticians and biostatisticians that studies thalamocortical interactions in different brain models (tree shrew, macaque, human neurotypical
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oral microbial communities mediate differences in oral and systemic health using an evolutionary health framework. There will be a specific emphasis on applying advanced bioinformatics and statistical
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reshaping epistemic norms and practices across the sciences. This is a one-year FY position beginning August 2026 to August 2027. Unlike previous domain-specific technologies, contemporary AI systems
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and changes in the city on ridership (frequency, duration, location, etc). We will also look at different user segments, such as tourists and inhabitants and compare their ridership, etc. For this we
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relevant field Proficiency in Python, and/or R statistical package. Proficiency in using LLM, model training, and Generative AI. Experience with supervised and unsupervised ML techniques Skill in collecting
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interest in learning, adaptation, and dynamical systems in physical contexts Experience with analytical and\or computational modeling. Proficiency in numerical methods and coding (Python, JAX, MATLAB
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methods, with demonstrated ability to implement causal identification strategies (difference-in-differences, instrumental variables, regression discontinuity, quasi-experimental designs). Proven experience