Sort by
Refine Your Search
-
(primary cells and cell lines) Collaborate closely with colleagues across disciplines to integrate findings into a comprehensive model of atherosclerosis pathophysiology Analyze data, interpret results, and
-
Knowledge and experience in the analysis of metagenomics and/or biological high-throughput data Knowledge of statistical methods in the context of biological systems Experience with programming (Python, Perl
-
basic and multiomics data analysis, Flow cytometric analysis of immune cell populations Immunohistological staining and imaging Biochemical assays for cytokines and other inflammatory mediators Protein
-
to data protection: Your data protection rights, the purpose for which your data will be processed, as well as further information about data protection is available to you on the website: https://tu
-
analysis and analytical data analysis workflows, together with other team members Implementing AI-based microscopy image analysis software as python packages Developing algorithms to deploy machine learning
-
analyse and interpret data, and prepare manuscript for publication in peer-reviewed journal Requirements Master’s degree in cell biology, biotechnology, molecular biology, or related field background in
-
dynamics, data science, and machine learning are beneficial. What we offer: We offer a position with a competitive salary in one of Germany’s most attractive research environments. TUD is one of eleven
-
data in collaboration with project partners. What we expect: The candidate has a strong interest in radiobiology and radiation physics enjoys doing research in an interdisciplinary field between biology
-
of testicular tissue Validate gene expression at the protein level via IHC and Western blotting Analyze large-scale transcriptomic data (R, Python) Test allele-specific regulatory activity using luciferase
-
like to more widely explore the possibility of computer simulations to refine the targeted synthesis even more and predict the self-assembly even better. Who we are · The Research Training Group RTG2670