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combining CRISPR-based endogenous protein tagging, advanced quantitative imaging, and biochemical approaches, this project seeks to uncover novel principles of replisome plasticity. A key long-term objective
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: Programming skills (Python, and/or C# or similar programming language). Knowledge of some of the following fields: medical image data, database structure, image processing, creation of user-friendly WEB pages
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approaches are particularly encouraged to apply. Qualifications - Relevant university education and PhD degree - Relevant background – this could be microbiology, molecular biology, cell biology, imaging
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approaches are particularly encouraged to apply. Qualifications - Relevant university education and PhD degree - Relevant background – this could be microbiology, molecular biology, cell biology, imaging
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is known worldwide for its high academic quality and societal impact. The Department of Electronic Systems employs more than 200 people, of which about 90 are PhD students, and about 40 % of all
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electroluminescence and photoluminescence imaging, preferably daylight and field-based methods. Proven skills in data analysis, image processing and machine learning. Experience with PV performance modelling, power
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imaging data (e.g., MRI, CT, angiography) Development of AI-based control methods for continuum robots. Validation and experimental evaluation of control algorithms on robotic platforms Profile and
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to oxygen levels and tumor aggressiveness. Using imaging-based measurements of pH and O₂ in mouse tumor models, we will integrate these readouts with spatially resolved single-cell transcriptomics to identify
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of Biotechnology and Biomedicine. The position will be available from 1st April or soon thereafter. Responsibilities and qualifications You as the postdoc will work within a team of Senior scientists, postdocs, PhD