Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
Knowledge of statistical methods in the context of biological systems Experience with programming (Python, Perl, C++, R) Well-developed collaborative skills We offer: The successful candidates will be hosted
-
to interdisciplinary research approaches Publications in peer-reviewed journals demonstrating research expertise Proficiency in quantitative data analysis software (R, Python) and statistical methods Strong written and
-
(especially Python) and use of ML/NLP tooling (e.g., PyTorch/Transformers, spaCy), plus fundamentals in MLOps/experiment tracking (e.g., DVC/MLflow/Git). Very good written and spoken German and English skills
-
of visualisation, machine learning / AI, and human-computer interaction Very good programming skills (web-based visualisation, Python, and/or GPU programming) First experiences in the participation in research
-
engineering (e.g., software architecture, development processes, quality assurance). Very good programming skills (at least in Python and C++); ideally strong hands-on experience with ROS2. Experience in AI
-
languages (e.g., Python or R) Strong motivation and curiosity Ability to work in an interdisciplinary team Structured and independent way of working We offer: An exciting and highly topical research project
-
with fault detection, system reliability, or fault-mitigation techniques. Strong programming skills (C/C++, Python; hardware-description languages “e.g., HLS, VHDL” is a plus). Motivation to pursue a PhD
-
-domain context. Good knowledge of programming languages (e.g. Python, R, Java, C#, C++) Good knowledge of object orientation and at least basic knowledge of UML Knowledge in the field of machine learning
-
of computer science, biology, physics, mathematics or a related field Programming skills in Python required (Numpy, Pandas, Scikit-learn, Pytorch) Hands-on experience in Deep Learning Demonstrated interest in working
-
of programming languages (e.g., Python or R) We offer: • An exciting and highly topical research project • Supportive working atmosphere in an international research team • Collaboration with national and