Sort by
Refine Your Search
-
ready to travel Applicants must be eligible to enroll on a PhD program at TU Dresden (see https://tu-dresden.de/ing/maschinenwesen/postgraduales/promotion?set_language=en ) Eligibility requirements
-
application deadlines) please visit https://www.qu.uni-hamburg.de/cluster/jobs/research-positions.html and klick on “+ Doctoral researchers”. The details of the application process (including starting dates
-
English to derive the full benefit from the network training as secondments and events are foreseen, applicants must be ready to travel Applicants must be eligible to enroll on a PhD program at TU Dresden
-
science in close cooperation with the research groups at the DPZ and the Göttingen Campus. PhD projects cover a broad range of topics. A structured PhD program will offer many opportunities
-
phases Your profile Excellent Master’s or Diploma degree in medical physics, physics, computer science, medical engineering or a closely related field with a strong interest in data science and
-
sustainable bioeconomy. The four PhD projects are: Your Profile: Master’s degree (or equivalent) in computer science, applied mathematics, physics, engineering, biology, plant and agrosphere sciences
-
international work environment Scientific excellence and extensive professional networking opportunities A structured PhD program with a comprehensive range of continuing education and networking opportunities
-
extensive professional networking opportunities A structured PhD program with a comprehensive range of continuing education and networking opportunities - more information about the PhD program at the HZDR
-
Description The group “Physics of molecular and biological matter” at the University of Tübingen is searching for a PhD student / doctoral candidate in Physics (m/f/d, E13 TV-L, 50-75%) The position
-
on these topics. One position is in the "X‑Ray Nanoscience and X‑Ray Optics" group and the other is in the "Computational Imaging" group. The PhD projects are embedded in the frame of the ErUM data project CmarT