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modelling (e.g., agent-based Bayesian models, cognitive learning models, machine learning). Experience in annotation software such as ELAN and PRAAT. Existing peer-reviewed journal publications and conference
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well as basic research with the combined tools of immunology, microbiology, virology, cell biology and molecular biology. For more information, please see https://www.mhh.de/hbrs/zib MD/PhD Molecular Medicine:The
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transient stability and to provide modelling and analysis tools that support robust control and protection design for future wind-dominated power systems. This project will be in close collaboration with
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mandatory): Experience with AI toolchains, multimodal data, data engineering, or MLOps. Experience building APIs, data pipelines, databases, analytics platforms, or decision-support tools. Interest in
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-machine system interactions. The project seeks to identify key mechanisms affecting transient stability and to provide modelling and analysis tools that support robust control and protection design for
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investigate the molecular regulation of SPPL3 activity and Golgi enzyme processing in cellular and later-on also in vivo models in more detail using a wide range of methodologies and tools (e.g. molecular
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Project & Group: You will work in the Computational Chemistry group, led by Dr. Mehdi D. Davari, an interdisciplinary team focused on accelerating chemical and biological discovery using computational tools
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sessions with ICU clinicians across Switzerland, managing data collection, participant coordination, and protocol adherence Preprocess, annotate, and manage a rich multimodal dataset, applying both
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17 Mar 2026 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Computer science » Modelling tools Geosciences » Geology Geosciences » Hydrology Researcher
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data scientists, software engineers, biomedical researchers, and clinicians. Your research will focus on developing AI- and LLM-enabled methods and tools to structure, harmonise, and analyse clinical