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). Experience in project coordination, preferably in innovation, sustainability, or transformative change contexts. Strong communication and organizational skills and the ability to collaborate in
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ideas and prepare scientific publications Participation in national and international conferences and collaboration in research networks your profile PhD in Bioinformatics, Computational Biology, Systems
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to cover a wider variety of physics use cases. Developing methods to make machine-learning-based models portable and interoperable. Leading the definition of containerized and networked “Models as a Service
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Max Planck Institute of Molecular Cell Biology and Genetics, Dresden | Dresden, Sachsen | Germany | about 2 months ago
/d) in applied topology for biology. The successful candidate will conduct research in applied topology, including topological data analysis, stochastic topology, network analysis and computational
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-university research institutes in Germany. PRIF is headquartered in Frankfurt and has a branch office in Berlin. More than 100 employees from research, administration and science communication contribute
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programming skills in Python and/or C/C++ ability to work independently and collaboratively in an interdisciplinary environment excellent communication skills in English willingness to travel regularly between
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hosts. The project is centered on the integration and analysis of multiomics datasets utilizing advanced machine learning approaches and biological network analysis. The successful candidate will join an
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Max Planck Institute of Molecular Cell Biology and Genetics | Dresden, Sachsen | Germany | 24 days ago
”. Employees appreciate the collegial atmosphere, as well as the family-friendly and flexible working conditions. The official language of the institute is English. The Max Planck Institute of Molecular Cell
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Postdoctoral position in Bioinformatics/Computational Biology (m/f/d) (full-time position 100 % ~ 38
disorders • Pathway modeling and network-based approaches • Systems immunology integration of molecular and clinical data • Collaborative projects involving patient-derived samples and model organisms What we
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large scientific collaborations by applying methods from social network analysis, large language models (LLMs), and knowledge graph technologies. As part of a small, supportive research team, you’ll have