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of the following topics will be appreciated, but mostly we look for smart people who enjoy learning new things: Approximate Bayesian inference Differential geometry Numerical computations (ideally with experience in
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, ubiquitous WiFi, and satellite channels can support robust perception and inference for distributed AI systems, and how delays, interference, and signal imperfections affect cognitive performance
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inference, starting July 2026 or earlier by mutual agreement. The position carries no teaching duties, allowing full focus on research. This postdoc is part of the research project Robust Causal Inference
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. The centre has a strong track record in collaboration with other Danish researchers and with the international research community. You can read more about NCRR here and about the faculty here . About the
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for screening purposes and cell-based therapies. We will develop methods for modelling missing not at random (MNAR) observations and quantifying uncertainty using Bayesian methods and deep learning architectures
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sciences Strong background in deep learning, with experience in probabilistic models (e.g., Variational Autoencoders, Bayesian approaches) Proficient Python programming for machine learning and scientific
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interplay between AI/ML learning/inference and communications; low-latency and time-constrained communication; satellite and non-terrestrial networking; experimental works on open-radio access network (O-RAN
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. Applicants with interests and experience in any of galaxy formation, Lyman-alpha absorption, ISM/CGM evolution at high redshifts, JWST NIRSpec spectroscopy, ALMA spectral data, and statistical inference
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on “ Integrating AI into Aquatic Ecosystem Models to Decode Ecological Complexity ” funded by Villum Fonden. Within that project, the focus is on exploring novel ways to infer information from environmental data
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-experimental data from five countries. Methodologically, the project designs and implements survey experiments and other causal inference methods (e.g. difference-in-differences and synthetic control). Your