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., ROS, MoveIt) and hardware integration. Knowledge of machine learning, reinforcement learning, or vision-language models for robotics is a plus. Hands-on experience with robotic arms (e.g., UR5, Franka
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, applying it to data analysis, econometric modelling, machine learning solutions, and the automation of research and data processing; Practical experience in the IT industry, developing, deploying, and
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emulators for accelerated forward modeling Advanced data-intensive machine learning and AI techniques for survey analysis Applications to major international surveys, including LSST (Rubin Observatory
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, atmospheric signals), data fusion across sensing modalities, and development of scalable machine learning pipelines. Work will be entirely computational and based in Seattle, with no field deployment
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of Economics, Hertie School, the Central European Unviersity, and the Romanian National School of Administration. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UAR3611-PEDRAM-005/Candidater.aspx
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§ Experience in the collection and processing of TEM/STEM data § Computer programming for custom data processing § Strong oral and written communication skills. Application Instructions Please upload
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a novel multi-omics approach that integrates high-throughput imaging and machine learning methods with CRISPR/Cas9 screens and saturation mutagenesis to answer central questions about the
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/tools or machine learning algorithms. Good computer programming skills in R/Matlab/PerlPython. Knowledge of basic molecular biology, genomics, and epigenetics. Experience in next-generation sequencing
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simulations, optimisation, machine learning and turbulence modeling. The researcher must hold a Phd in fluid mechanics / Applied mathematic / Machine Learning. Website for additional job details https
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Samuel Kaski’s research group Probabilistic Machine Learning is searching for postdocs to work on AI fundamentals in exciting projects. The work includes collaboration with ELLIS Institute Finland