Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Forschungszentrum Jülich
- DAAD
- Technical University of Munich
- Nature Careers
- Leibniz
- University of Göttingen •
- Leipzig University •
- Ludwig-Maximilians-Universität München •
- University of Potsdam •
- ;
- Deutsches Elektronen-Synchrotron DESY •
- Frankfurt School of Finance & Management •
- Friedrich Schiller University Jena
- Hector Fellow Academy
- Heidelberg University
- Helmholtz-Zentrum Berlin für Materialien und Energie
- Helmholtz-Zentrum München
- Johannes Gutenberg University Mainz
- Justus Liebig University Giessen •
- Max Delbrück Center
- Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg
- RWTH Aachen University
- TU Dresden
- University of Tübingen
- 14 more »
- « less
-
Field
-
portal until 27.08.2025 including: A motivation letter describing your interest in reproductive biology and genomics A brief summary of your laboratory and/or analytical experience Your CV Names and
-
proficiency in Python and experience with ML/DL frameworks like PyTorch or TensorFlow Strong analytical and communication skills, creativity, and the ability to work independently while collaborating in a team
-
. Strong coding skills for programming neural networks, machine learning and machine learning software frameworks (e.g. PyTorch or Jax) is a must. The ability for creative and analytical thinking across
-
. Strong coding skills for programming neural networks, machine learning and machine learning software frameworks (e.g. PyTorch or Jax) is a must. The ability for creative and analytical thinking across
-
degree in cell biology, biotechnology, molecular biology, or related field background in molecular biology expertise in mammalian cell culture, and genome editing techniques strong analytical and problem
-
well as analytical methods are an advantage Willingness to handle unsealed radioactive materials within a radiation-controlled laboratory environment Knowledge of handling radioactive materials and radiochemical
-
coding skills, particularly in Python and machine learning frameworks (PyTorch or Jax) The ability for creative and analytical thinking across discipline boundaries and abstraction levels Knowledge in
-
the use of instrumental analytical methods such as HPLC-MS, GC-MS knowledge in the preparation of plant tissues for the extraction of natural substances experience in the application of molecular biological
-
processing and machine learning methods, and big data analytics solutions to extract highly accurate large-scale geo-information from big Earth observation data. Our team aims at tackling societal grand
-
As part of the German government's artificial intelligence (AI) strategy, the successful Saxon competence center ScaDS.AI Dresden/Leipzig (Center for Scalable Data Analytics and Artificial