Sort by
Refine Your Search
-
themselves with new subject areas. Both working independently and working in a team, e.g. during the measurement campaigns, is particularly demanding. Knowledge of programming languages such as Python is an
-
or information extraction Very good programming skills in Python Enjoy scientific work and publication activities Very good written and spoken English; knowledge of German is an advantage We offer: Flexible
-
programming experience with ROS, C/C++, and/or Python We offer: attractive working conditions with an interesting, varied and challenging area of responsibility a high degree of creative freedom in your own
-
++, Python, Java) Good written and spoken English skills (min. level B2) Good written and spoken German skills (min. level B2) What we offer: Working in a family friendly and collegial environment with
-
way of working and quick comprehension; ability to quickly familiarize yourself with new concepts Enjoy scientific work in a cross-domain context. Good knowledge of programming languages (e.g. Python, R
-
, Cheminformatics, Computational Biophysics, or a closely related field Strong programming skills (e.g., Python, C/C++) Knowledge of machine learning frameworks (e.g., PyTorch, TensorFlow) Very good English language
-
code via differential testing) We focus on techniques that apply to real-world software systems. E.g., in the past, we have developed techniques that find and fix bugs in widely used Python, Java, C/C
-
yourself quickly with new concepts. Enjoyment of scientific work. Very good/good programming skills (at least in Python and C++). Good written and spoken German (at least C1 level) and English. In-depth
-
psychophysics • Experience with a high-level programming language such as MATLAB or Python • Excellent English communication skills and a collaborative mindset • German language skills are not required but
-
Programming skills (Python) and acquaintance with modern machine learning frameworks (PyTorch/JAX) are strong advantages The university seeks to raise the number of women in research and teaching and therefore