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Max Planck Institute for Radio Astronomy, Bonn | Bonn, Nordrhein Westfalen | Germany | about 6 hours ago
on the true, astrophysical candidates is a computational needle in a haystack. To tackle these “big data” challenges, astronomers have begun to employ machine learning techniques. The application of machine
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posts) [Appointment period: each for six months] Duties We are building a domain-specific Multimodal Large Language Model (MLLM) devoted exclusively to hepatocellular carcinoma. The appointees will
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Fixed Term: Until 31 August 2029 Full Time: 35 hours per week The Opportunity: A Postdoctoral Researcher Position in Data Science/Molecular Epidemiology is available within the Marioni Group
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Postdoctoral Appointee - Uncertainty Quantification and Modeling of Large-Scale Dynamics in Networks
modeling of large-scale dynamics in networks. This role involves creating large scale models of dynamic phenomena in electrical power networks and quantifying the risk of rare events to mitigate
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Details Title Postdoctoral Fellow in Computer Science — From Theory to Practice: Reinforcement Learning for Large Scale Foundation Model Post‑Training School Harvard John A. Paulson School of
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expertise in research and development in the following areas of AI and Data Science : Machine and deep learning, NLP, BDI (Belief-desire-intention) systems, and Large Language Models (LLMs). Expertise in
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We are looking for a results-oriented postdoctoral researcher to accelerate our strategic partnership with ING and drive innovation at the intersection of banking and Large Language Models (LLMs
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the research project - “Social robots with embedded Large Language Models releasing stress among the Hong Kong population”. He/She will be required to: (a) develop personalised emotional support conversation
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3 Dec 2025 Job Information Organisation/Company MOHAMMED VI POLYTECHNIC UNIVERSITY Research Field Computer science Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Country
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software projects Desired Qualifications: ● Experience working with large survey data (e.g., LSST, DES, HSC, Euclid, Roman) ● Knowledge of image simulation frameworks and pixel-level analysis techniques