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learning and data analysis experts. The main tasks include the analysis of complex biomedical data using modern AI methods, as well as the development of novel machine and deep learning algorithms
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processes that produce energy and raw materials. The Institute of Radiopharmaceutical Cancer Research develops radiotracers for imaging of cancer biomarkers and personalized therapies. In a joint effort of
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into goal-directed behavior. We use state-of-the-art approaches including functional brain imaging, automated behavioral analysis, and computational neuroanatomy. We value a collaborative atmosphere, early
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microscopy and automated image analysis Basic knowledge of toxicology (e.g. through DGPT training courses or relevant studies / professional experience) Experience in establishing test methods Conscientious
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PhD projects in the life sciences. We are looking for early career scientists with a vivid interest in interdisciplinary projects to image cell dynamics from the subcellular to the patient level. PhD
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, biomedical engineering, neuroscience, physics, or related field • Strong interest in vision science and technical aptitude • Solid analytical abilities with experience in image analysis and/or human
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and spectroscopy Construction and optimization of single-molecule microscopy setups Development of image- and signal-processing software for single-molecule microscopy and spectroscopy data Analysis
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-driven simulation with physics-inspired data and image analysis, often in close collaboration with experimental partners, to identify physical principles behind biological dynamics and self-organization
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chemistry, biophysical analysis via optical spectroscopy as well as the detection of nucleic acid in homogenous solution and in situ. The project also involves fluorescence microscopy and flow cytometry and
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key role in gene regulation. By employing omics-based approaches, metabolite tracing, proximity-labelling, and advanced imaging techniques, this project offers a unique opportunity to: Explore how