Sort by
Refine Your Search
-
coding experience with e.g. Python/Matlab/R Practical experience with High Performance Computing, and scientific programming and a willingness to learn to work with high-performing computing systems
-
Apply now to join Boehringer Ingelheim as part of the prestigious PostDoc grant program opn2TALENTS and have the chance to pursue your own submitted research project as a fully resourced two-years
-
development knowledge of the state-of-the-art in climate physics and Earth system modeling and data analysis techniques programming skills e.g. in C, BASH, Python, Latex software user knowledge: MS
-
System (W-0046 | all genders) with the freedom to develop and pursue your own research program within a broad scope. As a successful candidate, you will become an integral part of the Multiscale Cloud
-
computational approaches, including artificial intelligence (AI), to unravel the mechanisms driving neuroimmunologic diseases. Your responsibilities: Plan and perform innovative large-scale experiments bridging
-
we have to offer: The Wilken Lab is part of JGU Mainz Chemistry PhD programs Selected PhD candidates will be recommended to the Max Planck Graduate Center for further training (https://www.mpgc
-
modeling, but with a strong background in physics and good programming skills. Further Information The AWI is characterized by The AWI is characterized by our scientific success - excellent research
-
Postdoc (f/m/d): Machine Learning for Materials Modeling / Completed university studies (PhD) in ...
related field # Proficiency in programming languages (Python, C/C++, Julia) # Background in machine learning methods # Experience in developing, training, and tuning machine learning models # Prior exposure
-
and medical research with a commitment to interdisciplinary collaboration ability to quickly grasp new concepts and work independently on complex problems proficiency in scientific programming languages
-
processes Strong experience in working with large datasets and advanced programming skills (e.g., Python, MATLAB, R) Knowledge of biological and biogeochemical processes in the biological carbon pump