Sort by
Refine Your Search
-
students) Contribute to the friendly, welcoming, and collaborative environment within the group Your profile A MSc in the biological sciences, bioinformatics, or related disciplines. Candidates in the final
-
). The aim is to use modern molecular biological methods and in vivo models to investigate the role of fibroblastic plasticity in cardiac remodeling and loss of function. Your role: Independent work on the
-
supportive workplace Your activities and responsibilities: Conduct a translational research project in the field of tumor immunology Apply and further develop cellular and molecular biology methods Work with
-
physics, engineering, medicine, biology or a related field Practical experience in optics, signal processing and working with experimental setups (e.g. MATLAB) Interest in medical diagnostics and innovation
-
completed PhD in (bio)informatics or (neuro)immunology A completed Master’s degree in biology, biomedicine, bioinformatics, or data science Basic knowledge in cell culture, immunology, and molecular biology
-
is connected to the vibrant local ecosystem for data science, machine learning and computational biology in Heidelberg (including ELLIS Life Heidelberg and the AI Health Innovation Cluster ). Your
-
supportive team. Applicants with Ph.D. degree or submitted thesis / publication will be considered. The ideal candidate will have a background in immunology, epigenetics, cell biology. Experience in working
-
Neurobiologie (ZMNH) Main tasks You will join the Institute of Medical Systems Biology and the bAIome Center for Biomedical AI (baiome.org) to complement our lively and enthusiastic team of machine learning and
-
motivated and skilled postdoctoral researcher to join our interdisciplinary team focused on longitudinal proteomic analysis to decipher differential biological action of photon, proton and ion beams on rat
-
friendly and supportive team. Applicants with Ph.D. degree or submitted thesis / publication will be considered. The ideal candidate will have a background in immunology, epigenetics, cell biology