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This PhD position is part of the ErUM-Data project CmarT, which aims to develop a novel multi-scale imaging approach at synchrotron radiation facilities, particularly PETRA III at DESY. Biological
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assemble and disassemble – a property we want to harness to build self-regulating synthetic compartments. We are offering a PhD position focused on engineering feedback mechanisms that control condensate
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open PhD positions throughout the year. Learn more about PhD opportunities at the Hertie School and the relevant application deadlines here . Further information on the application procedure can be found
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Additional information on beginning, duration and mode of study The starting date of the PhD project is flexible. The initial funding period is usually three years. Find out more at https://www.bgc-jena.mpg.de
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science/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning
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at https://mpl.mpg.de/study-work-or-visit/graduate-programs/what-we-offer/phd-curriculum . Additional skills courses are also offered and may be taken on a voluntary basis. International elements
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Degree PhD Course location Potsdam In cooperation with This programme is offered by the Faculty of Digital Engineering, a faculty jointly founded by the Hasso Plattner Institute (HPI) and the
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Degree Doctorate Course location Potsdam In cooperation with The innovative PhD and postdoctoral scholarship programme is offered in conjunction with the Faculty of Digital Engineering, a faculty
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are processed through the online application portal: https://uni-goettingen.de/en/532016.html Language requirements Good proficiency in English and/or German is required. Applicants must provide proof
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Jülich (including its various branch offices) is available at https://www.fz-juelich.de/en/careers/phd In addition to exciting tasks and a collegial working environment, we offer you much more: https