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| Art des Jobs | Vollzeit | |
| Eingetragen am | 14.03.2024 | |
| Einsatzort | Heidelberg | |
| Jobbeschreibung | Job description: You will be jointly affiliated with the laboratory of Prof. Dr. Stegle and Prof. Dr. Odom to generate novel insights into how clonal competition across space and time can shape tumor inception and cancer development in vivo. Your activities will comprise: - Designing and executing experiments to study in vivo cancer clonal evolution using spatial transcriptomics and single-cell multi-omics analyses - Developing tailored machine learning and causal inference methodologies to analyse these datasets The project setup allows for some flexibility according to qualifications and interests, and we encourage candidates with strong expertise, which may vary from those listed, to apply. |
| Qualifikationen | Requirements:
- A PhD or equivalent qualification in computer science, statistics, mathematics, physics, and/or engineering, or a degree in biological science with demonstrated experience in computational and statistical development - Experience with implementing machine learning or statistical learning (e.g. Bayesian inference, deep-learning) - Programming skills in Python and experience with frameworks like PyTorch, Keras, Pyro or TensorFlow - Motivation and dedication to lead a scientific project - Supportive, creative and responsible team member - Expertise in the analysis of omics data, genetics, statistical interpretation and analysis of next-generation sequencing datasets is a plus; we encourage applications also from candidates with little or no background in biology or medicine, and a keen interest to learn |
| Firma |
Deutsches Krebsforschungszentrum 69120 Heidelberg |
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