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methods such as large-scale sequencing Multiplex IHC and image analysis Data analysis and programming in R Independent interpretation of results and acquisition of new knowledge and methods Active
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picture recognition. Strong background in machine learning, statistical modeling, and big-data analytics. Experience with infrastructure or transportation data or traffic planning (e.g. micro-simulation
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, imaging or spectroscopy analyses. We deal with high data rates (GB/s) and “big data” volumes. To strengthen the support we can offer to the beamlines and their users, we are looking for a Beamline Data
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image analysis and sensor technologies (e.g. RGB/NIR) for textile production, as well as using machine learning for process optimisation and performance prediction from fibre to finished product
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for functional reactor or fluidic systems. Experience with high-speed imaging, pressure measurements, or cavitation evaluation. Demonstrated ability to work independently while maintaining strong collaborative
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systems for diagnostics and treatment. Core activities include signal processing, antenna design, and measurement hardware development. Building complete prototype systems for clinical testing is a central
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for a trade union organisation or other similar circumstances, and for relevant duties/assignments within the subject area. It is meritorious if you have specific experience working with medical images
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on projects related to image data, spatial biology, and genomics. As a developer, you will participate in Agile development teams and contribute with expertise on software engineering, system design
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for next-generation sensing and imaging applications. Who we are looking for The following requirements are mandatory: A doctoral degree or an equivalent foreign degree in a relevant field. This eligibility
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, purification and validation of formed cages using microfluidics diffusional sizing, DLS, mass photometry and cryo-TEM imaging. One a functional design is at hand, the work will be focused on structure