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the structure and function of matter, from the smallest particles of the universe to the building blocks of life. In this way, DESY contributes to solving the major questions and urgent challenges facing science
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-steady state operation. The project will include i) operation of novel continuous electrodialysis system with fluctuating energy, ii) examination of water contaminants in brackish water treatment, iii
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spoken and written English Our offer A vibrant research community in an open, diverse and international work environment Scientific excellence and extensive professional networking opportunities A
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animals (including breeding and care) Enthusiasm for scientific work and writing technical article What we can offer you Trust-based working hours 30 days’ annual leave (5-day week) plus 24 and 31 December
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basis. The position is generally suitable for part-time work. As part of the job, the opportunity to do a doctorate at Clausthal University of Technology is offered. The Institute for Software and Systems
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), the Technische Universität Braunschweig, investigates cellular metabolism of myeloid cells in the context of tumor development and obesity-associated conditions. In particular, we focus on cellular metabolites
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, company pension scheme (VBL) We support a good work-life balance with the possibility of part-time employment, mobile working and flexible working hours Numerous company health management offerings Employee
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research projects in seminars and workshops with guest professors. It offers an ideal environment for doctoral candidates since it provides access to a network of internationally renowned scholars and is
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of reference, including at least one letter from a professor from the applicant’s home university; if the applicant holds a bachelor’s degree or has completed a first academic degree with a regular duration of
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at the interface of data science and the scientific domains pursued at the three participating Helmholtz centers. Methodologically, a broad range of topics is covered, from large-scale data management to data mining