13 parallel-programming-"Multiple"-"Humboldt-Stiftung-Foundation" uni jobs at Free University of Berlin
Sort by
Refine Your Search
-
Listed
-
Field
-
using the programming language Fortran. Experience or willingness to run numerical models on parallelized supercomputers. Experience in the analysis of model output using Python or a similar high-level
-
desirable - Strong collaborative skills and ability to work well in a complex, multidisciplinary environment across multiple teams, with the ability to prioritize effectively. Applications should be sent by e
-
The History Department of Freie Universität Berlin is home to a broad variety of research projects and scholarly initiatives in the field of global history (among them, the MA program Global History
-
, teach in the subject “Animal Breeding and Genetics, Including Animal Judging” within the Staatsexamen (state examination) veterinary medicine degree program that licenses graduates to practice veterinary
-
spectrometry and programming skills. The position is very suitable for a Master's thesis. Furthermore, the working group plans to establish a PhD position in this field in the course of 2026. Although a
-
• Programming skills, especially in the field of scientific computing and data analysis and web presences • Knowledge of data processing, network architectures and operating system environments. • Good knowledge
-
(natural language processing) and machine learning methods. We are looking for very good graduates of Master's programs with a strong interest in topics of accounting or auditing who would like to dedicate
-
: Providing support with: - software maintenance and extension of a simulation package - the development of training material - processing of bug reports, user enquiries (mailing list), etc. - programming
-
research is financed by the DFG's Emmy Noether Programme through the project Coherent Highly Enantioselective Molecular Manipulation enabled by Multiphoton Interactions with Structured Light (CHEM3ISt-Light
-
) - Strong experience with advanced analysis methods for fMRI or EEG data (e.g., decoding, representational similarity analysis, deep neural network modeling) - Excellent programming skills in Python or Matlab