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-throughput data acquisition Quality control, method validation, and standardization of analytical procedures Collaboration with research groups within BioSysteM and exchange with your Technology hub colleagues
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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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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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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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, 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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Experience in mathematical modelling, statistical inference, simulation studies, and data analysis Expert knowledge in relevant programming languages (e.g. R, Python, Julia, C++) Analytical and structured way
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28.01.2026, Academic staff We are looking for a team lead with knowledge in electrochemistry that will lead our activities in RDE/RRDE and flow cell operation coupled to operando analytics, e.g. ICP
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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