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international partners. Become part of our team PhD student (f/m/d) Work schedule: 65 % of the regular weekly working hours (currently 25 hours and 37 minutes) Duration: at the earliest possible date
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, industry partners, and dual degrees, PROTEMIC is your gateway to scientific impact and career acceleration. Each PhD student will conduct their work at two different institutions, moving to the co-host after
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quantitative data analysis (e.g., econometrics, statistics, machine learning) a high motivation and the ability to work independently with a strong team orientation excellent spoken and written English and the
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facilities and scientists from all over the world. a collegial working atmosphere. a 3-year PhD position. a gross salary up to 65% E13 TV-L. accommodation in IPK guest house (on request). If you need further
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, industry partners, and dual degrees, PROTEMIC is your gateway to scientific impact and career acceleration. Each PhD student will conduct their work at two different institutions, moving to the co-host after
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Your Job: As part of your doctoral project, you are investigating the cycle stability of liquid organic hydrogen carriers (LOHC) with alcohol functionality. Your focus here is on investigating the possible accumulation og by-products over several process cycles. You will also consider the...
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Your Job: As part of your doctoral project, you will focus on the development of strategies for the regeneration of catalysts that deactivate in the release of hydrogen from the liquid organic hydrogen carrier (LOHC) perhydrobenzyltoluene. Your task will include: Planning and commissioning of a...
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of embedded machine learning, neuromorphic hardware and deep learning accelerators. Want to get more information? Click here. What you will do Design analog and mixed-signal circuits, such as data converters
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at the Clinic for Radiology! We are seeking a highly motivated PhD student to join our interdisciplinary research team investigating the dynamics of immune cells in cancer. The focus of the project is on single
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of embedded machine learning, neuromorphic hardware and deep learning accelerators. Want to get more information? Click here. What you will do The complete design and implementation of analog circuits including