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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | about 2 months ago
links between family and health, [2] the role of genetic factors in shaping health inequalities, [3] international comparisons of health and health inequalities, and [4] developing new methods, in
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Max Planck Institute for Demographic Research, Rostock | Rostock, Mecklenburg Vorpommern | Germany | 3 months ago
candidate(s) will work on one or several of the four research themes of the Center: [1] the links between family and health, [2] the role of genetic factors in shaping health inequalities, [3] international
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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
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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
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research group study the genetic and epigenetic changes that drive the development of hematological malignancies by employing cutting-edge multi-omics approaches. The successful candidate will join a dynamic
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, ecological drift and dispersal) and evolutionary biology (selection, genetic drift and gene flow) shape eco-evolutionary community dynamics. Your role Develop a theoretical model (e.g., individual-based
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and cell type-specific effects of mutant IDH1 on genetic and epigenetic integrity and the resulting transcriptional aberrations that provide a fertile soil for malignant transformation. These studies
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MesaPD to solve complex multiphysics problems. The coupling is done across package boundaries. This also requires more sophisticated approaches in load-balancing. Finally, the newly developed algorithms
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this interdisciplinary project, we are looking for a strong candidate to contribute to the development of quantum algorithms and applications, focusing on quantum walks and quantum machine learning on graph structures
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computer science with very good results - Interest on topics around the area of distributed systems and data management - Basic knowledge in distributed systems and graph algorithms is desired - Hand-on experience