-
the development of computational methods for genetics, high-throughput omics data and causal discovery. Our interdisciplinary and international team is jointly located at DKFZ and EMBL Heidelberg, and
-
programming of algorithms. The use of programming languages such as Python, R, SQL, and C++ will be a daily part of the project, and proficiency in these languages is required. However, additional datasets will
-
of inflammation remains the role of hypoxia. In this 3-year CRC (DFG)-funded position, we will use novel genetic reporters and transgenic models to specifically address the role of hypoxia during these processes
-
Medicine and Andrology | Institute of Reproductive Genetics We are UKM. We have a clear social mission and, with our focus on healthcare, research, and teaching, we bear a unique responsibility. To meet our
-
to develop a 3D-generative algorithm for pharmaceutical drug design by using or combining novel machine learning approaches? How would you integrate machine learning, physics-based methods in an early-stage
-
on the influence of Alzheimer’s disease and aging on changes in cognitive functions in humans. The project combines cutting-edge technologies from genetics, proteomics and statistical modeling to understand
-
Immunology and Computational Biology Reference number: 2025-0105 We are deploying advanced in vitro and in vivo model systems, genetic perturbations and single cell technologies with spatial readouts to study
-
Postdoc position: mechanisms of autoimmunity & autoinflammation in inborn errors of immunity (m/f/d)
to decipher key regulators of human immune homeostasis (Ardy RC et al., Gastroenterology 2018; Wang L et al., Nat Genet 2021; Salzer E et al., Science Immunol 2020; Block et al., New Engl J Med 2023
-
persist after chemical insults, resulting in large-scale polarization of mutations in cancer genomes (Connor 2018, Aitken 2020, Anderson 2024), as well as how genetic background shapes the trajectory
-
to publications and grant writing, and support the supervision of students and junior researchers in one the following research areas: Computational oncology AI drug discovery Statistical genetics, single-cell