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cancer development, progression, and metastasis. The successful candidate will combine advanced cell and tissue culture methods with bioengineered model systems, quantitative microscopy, and molecular
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Experience Hands-on experience with mouse models and in vivo experiments Required License/Registration/Certification N/A Physical Requirements Check all that apply: ☒Sitting at computer work station for long
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for the Postdoctoral Research Associate, Advanced Nuclear Reactor and Fuel Cycle Engineer role. This role is responsible for working with state-of-the-art modeling and simulation capabilities for lattice physics
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multidisciplinary toolkit, including single-cell multiomics, computational biology, stem-cell and cancer biology, mouse models, human tissue profiling, and functional perturbation. We welcome creative and
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ownership for comments as applicable, initiates self and team improvement plans. Fosters and models interdisciplinary team collaboration to achieve desired clinical outcomes and improve culture. Expresses and
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Max Planck Institute for Gravitational Physics, Potsdam-Golm | Potsdam, Brandenburg | Germany | 24 days ago
, the LISA Consortium, and the LISA Distributed Data Processing Centre, where the department leads waveform generation and the global-fit deep analysis. Your tasks Research areas Analytical modeling
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disease-relevant models to define how dysregulated stress-response networks, kinases and ubiquitin ligases shape tumor behavior, tumor-stromal interaction and treatment response. Current efforts focus
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and interactive knowledge graph tools while mentoring junior Ph.D. students. Experience leading UI design for multimodal vision-language model interaction. Proven track record in software research and
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systems. Using primary cells and cell culture models, the candidate will leverage expertise in RNA modification and translational control, virology and structural biology to dissect the molecular mechanisms
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top-tier venues and will have dedicated time for advancing their own research. The project is in collaboration with CCL (The Center for Connected Learning and Computer-based Modeling, PI Uri Wilensky