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Field
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investigation. Your tasks and responsibilities Develop and validate cellular models of acute paralogue dysfunction in developmental contexts (e.g. degrons) Map binding dynamics of paralogue proteins through
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | 28 days ago
from AWI’s FRAM Observatory and other AWI expeditions. Furthermore, the products will improve parametrizations in high resolution coupled ocean-biogeochemical modelling. Your Tasks Create and evaluate a
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremen, Bremen | Germany | 28 days ago
models as predictive tools to address questions regarding the response of deep-sea ecosystems to various pressures. A key question addresses the best combination of ML and network analysis to maximize
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interdisciplinary research team. We study tumor evolution and immune microenvironment adaptation by combining functional genomics, experimental model systems, patient samples, and computational biology (Brägelmann et
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Environment (VTE) for disaster response simulation, integration of Building Information Modelling (BIM) with Structural Health Monitoring (SHM) using smart sensor networks, and resilience-informed design
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and parametrizations that lead to improved, energetically consistent, climate models. Close collaboration with the other research areas of the CRC is expected, and more information can be found
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The Network Analysis and Modelling uses machine learning to investigate how genetic variation shapes gene regulation, protein function, and, ultimately, observable plant traits. We are seeking a
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an understanding of the underlying magnetic processes through complex data analysis and computer simulations. You work in close collaboration with theoretical physicists to test models and develop new insights. Your
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cells; 2) Model AML plasticity at the single-cell level; 3) Propose candidate therapeutic targets for in vivo validation. The PhD student will be embedded in a collaborative and supportive team, working
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features from unlabeled high-resolution microscopy data Training and evaluating segmentation models for detecting and characterizing defects such as dislocations Applying generative models (e.g., GANs