Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
Computer Science, Mathematics, Physics or a related field Knowledge in Neuromorphic Computing or Computational Neuroscience is a plus Experience in mathematical modelling Excellent programming skills and experience
-
the consortium Your Profile: Excellent Master and subsequent PhD in computer science, engineering, biophysics, applied mathematics, computational biology or a related field Proven programming expertise in Python
-
work Your Profile: Completed university degree (Master`s) in a subject with a strong focus on chemical engineering, e.g. process engineering, mechanical engineering, technical chemistry, relevant
-
in field conditions. The samples can now be processed and analysed. We are looking for a motivated intern to work on the processing of root samples. The intern will learn and use root analysis methods
-
conferences Your Profile: You have an excellent Master’s degree in a relevant discipline such as computer science, mathematics, engineering, or the natural sciences, preferably with a completed PhD or an
-
of data centers Integration of the data basis into an open-source technology database (TechDB) for subsequent internal and external use Familiarization with the national energy system model ETHOS.NESTOR and
-
and individually, for example through training opportunities and the structured JuDocS program for doctoral candidates: https://www.fz-juelich.de/en/judocs In addition to exciting tasks and a
-
scientific questions related to AI or HPC and publish the results in journals or at top-tier conferences Your Profile: You have a completed Master’s degree in a relevant discipline such as computer science
-
energy-efficient supercomputers Supervise vocational trainees in mathematical-technical software development Your Profile: University degree (Master) in Computer Science, Electrical Engineering, Software
-
models of structural disorder based on the periodic average structure, crystal chemistry, and complementary information Generation of a dataset to train ML models Simulation of the corresponding