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robust conceptual and analytical skills, as documented through prior research publications. Practical experience with LLMs (e.g., training, fine-tuning, mechanistic interpretability methods) is required
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, ideally ethnographic fieldwork. Experience in qualitative data analysis is also necessary. Experience with participatory design or participatory methodologies is desired. Other forms of experience in
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participation in the related Graduate School training programs. Qualifications The applicants should possess: An excellent or very-good university degree in Eonomics Strong analytical and methodological skills
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the development of innovative solutions for real security and data protection issues. In this context, several positions are available to work on research and development projects in the field
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(e.g. RNAi, CRISPR/Cas9, small-molecules). In this context, we also develop new computational tools for automated analysis and data visualization. These include algorithms and software applications
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Data-Driven Autonomous Mobile Robotics for Aquatic Biodiversity Monitoring Shape the Future of Field Robotics You want to develop robotic systems that do not just work in the lab, but operate robustly in
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, as is knowledge of GIS or quantitative data analysis. The successful applicant is expected to work independently as well as collaboratively within an international research team. Strong analytical
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25 Feb 2026 Job Information Organisation/Company Constructor University Bremen gGmbH Department School of Science Research Field Computer science Researcher Profile Recognised Researcher (R2
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animals. Our strategy will allow us to compare stress responses and behavioural data between different species and classes of pathogens, leading to important synergies by using standardised methods
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Using state-of-the-art clumped and stable isotope geochemistry or biomarker analytics develop a paleoclimatic framework outlining Neogene hydroclimatic conditions Contribute to refinement of (isotope