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Research Associates/Assistants to support a diverse portfolio of research projects at the intersection of infectious disease modelling, Bayesian inference, AI, and public health. Projects span AI-driven
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Department of Biomedical Engineering Research Associate / Research Assistant (Full-time/Part-time) (two posts) (Ref. 260422002) [Appointment period: each for twelve months initially, with
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dynamic Electrochemical Impedance Spectroscopy (EIS), combining advanced measurement technology with modelling and data-driven analysis. A key component is a novel measurement approach that enables high
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Job Description Job Alerts Link Apply now Research Fellow (Operations Research) University-Level Unit: College of Design and Engineering Faculty/Department-Level Unit: Industrial Systems Engineering
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Research Assistant (m/f/d) with a Ph.D. in Civil Engineering, Engineering Physics, Physics, Mathemat
To strengthen our team in the division 7.7 “Modeling and Simulation” in Berlin-Steglitz, starting 01.07.2026, we are looking for a Research Assistant (m/f/d) with a Ph.D. in Civil Engineering
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experimentation, numerical modeling, and data-driven approaches to address complex environmental challenges. The role requires a high level of scientific creativity, independence, and leadership, with expectations
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will focus on the design and implementation of advanced models for data enhancement, denoising, semantic segmentation, content-based retrieval, target detection, multitemporal analysis, and radar mapping
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-design and evaluate data-driven solutions. Support technology adoption among agricultural operations consistent with land-grant mission. Teaching & Workforce Development Develop and teach undergraduate and
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The Computer Vision Group is looking for an aspiring PhD to investigate multi-agentic AI, LLMs, and VLMs applied to agricultural sciences. Currently, established AI models often fail to generalize
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algorithms for anomaly detection and predictive maintenance of subsea structures Duration: 6 months Maximum Duration Including Renewals: 12 months Objectives Development of AI-driven models to identify