54 evolution "https:" "https:" "https:" "https:" "https:" "https:" "University of Cambridge" uni jobs at DAAD
Sort by
Refine Your Search
-
to contribute to sustainable development. training future academic and professional leaders, qualified professionals’ involvement in the solution of development-related problems in Latin America graduates
-
with upcoming tasks and (on‑site) appointments VACATION: You will receive 30 days of vacation KNOWLEDGE & DEVELOPMENT: Your professional development is important to us – we support you specifically and
-
institutions from academia and industry: https://euraxess.ec.europa.eu/jobs/401249 . Your mission The aim of the project is the development of a physical model of the initial solidification of steel during
-
Description We invite applications for a fully funded PhD position within the DFG Priority Programme SPP2389. https://tu-dresden.de/mn/biologie/allgemeine_mikrobiologie/spp2389?set_language=en
-
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
-
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
-
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
-
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
-
/ Argentina https://www.argentina.gob.ar/educacion/campusargentinaglobal Alearg E (pasantías): Estudiantes de Ingeniería
-
applies), preferably via the TUD SecureMail Portal https://securemail.tu-dresden.de by sending it as a single pdf file to mlcv at tu-dresden.de or to: TU Dresden, Chair of Machine Learning