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between synthetic cells. With a lot of room for scientific creativity and collaborations, you will also further extend the capabilities of bottom-up synthetic biology by improving our methods to generate
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You will use advanced AI-driven cell tracking methods to elucidate the remarkable self-organization of cells in mammary gland organoids. The mammary gland is one of the most dynamic tissues in
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In this project you will develop next-generation cell tracking methods for organoids based on advanced AI approaches and novel biophysics concepts, in order to elucidate the remarkable self-renewal
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and selectivity (essential for solar-driven chemical and fuel production) as well as for photovoltaic efficiency, but are largely unknown. At the start, you will focus on two scientific research
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well as by spatial effects including cell movement. However, the limited experimental control of biochemical signals in the spatial context constrains further progress. Resolving this issue would open up a
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genome-wide patterns to molecular mechanisms, and from bacteria to human cells. This initiative is motivated by our recent discovery that multiple ribosomes cooperate to actively drive protein-complex
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to in vitro, from genome-wide patterns to molecular mechanisms, and from bacteria to human cells. Prof. dr. ir. Sander Tans [email protected] https://www.sandertanslab.nl Phone: +31-(0)20-754 7100 You can
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to in vitro, from genome-wide patterns to molecular mechanisms, and from bacteria to human cells. Prof. dr. ir. Sander Tans [email protected] https://www.sandertanslab.nl Phone: +31-(0)20-754 7100 You can
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workplace, and encourage people from all backgrounds to apply. Terms of employment The position is intended as full-time (40 hours / week, 12 months / year) appointment in the service of the Netherlands
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any background. Terms of employment The position is intended as full-time (40 hours / week, 12 months / year) appointment in the service of the Netherlands Foundation of Scientific Research Institutes