153 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Mines Paris PSL" positions at Nature Careers in Germany
Sort by
Refine Your Search
-
research environment for biophysics. Our group combines molecular dynamics simulations with machine learning techniques to understand how proteins, biomembranes, and small drug-like molecules interact
-
application instructions) and to submit your application online, please visit: https://www.mpg.de/lise-meitner-excellence-program The deadline for applications is April 15, 2026. If you are invited to present
-
, which might include analysis and comparisons with the dynamics in tropical countries (VBD-mode, funded by BMFTR; https://clinicalepi.de/projects/vbd-mode.html) Collaborating closely with national and
-
intense student mentoring and expects its teaching staff to be present during lecture periods. Candidates who are able and willing to teach in both English and German are preferred. In its pursuit
-
. Candidates who are able and willing to teach in both English and German are preferred. The position also requires additional postdoctoral qualifications. These should be in the form of a habilitation
-
courses The group language is English, so no German language skills are required – but it is a great opportunity for you to learn German! The historic city of Göttingen, located in the heart of Germany
-
for immobilizing these ions. Modern methods of theoretical chemistry (first principles, kinetic Monte Carlo, machine learning) will be applied to investigate diffusion phenomena and link speciation with
-
application is successful. You can find further information on this website: https://www.kmk.org/zab/central-office-for-foreign-education.html For further information or to discuss the position please contact
-
. Qualified candidates are asked to apply via the Appointment Portal of the University of Bonn (https://berufungsportal.uni-bonn.de/openProcedureList.do ). The application can be submitted in German or English
-
, Cambridge, Heidelberg, Innsbruck, and Munich. The Stegle group is jointly based at DKFZ and EMBL and embedded in Heidelberg’s vibrant ecosystem for data science, machine learning, and computational biology