87 evolution "https:" "https:" "https:" "https:" "UNIVERSITY OF HELSINKI" uni jobs at DAAD in Germany
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gas/solid interfaces. The project is embedded into interdisciplinary and international cooperations involving partner groups from natural science and engineering ( https://www.sfb1452.research.fau.eu
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Regional Development (IOER) is a non-university research institute in the field of the spatial sciences and a member of the Leibniz-Association, focusing on the sustainable development and transformation
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looking for a PhD Student (f/m/d) Development of the degradable environmental and bio-sensors, subject to final approval by the project sponsor. Your tasks Development of the project tasks and milestones
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of inorganic ions and organic matter can cause defects in electrolyser stacks, resulting in costly process disruptions. This project considers: i) development of analytical methods for the quantification
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and contribute your own ideas flexible working hours and support in balancing work and family life comprehensive training and professional development opportunities a job ticket (public transportation
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compounds, etc. The project will focus on the i) development of membrane filtration systems and operation with novel nanofiltration membranes, ii) examination of the physical/chemical processes inside
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equivalent in Health Economics or a related field and speak English. If you want to join us, please apply until March 29, 2026 via our online application platform. https://www.drs.fu-berlin.de/user/register
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(including cover letter, CV, diplomas/transcripts, etc.), which you can submit via our online-applicationsystem: https://www.hzdr.de/db/Cms?pNid=490&pLang=en&pOid=76687
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of mechanical cell activity – in this case growth/division and motility. For more information about the network and the project, please visit the central webpage ( https://cafe-bio.org/ ). Your Profile For our
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: Development of machine learning algorithms for the localisation of seismic sources (e.g., on 2D grid maps) Analysis and preprocessing of large DAS datasets Use of synthetic training data from seismic