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genomics, virtual cell models Graph-based neural networks, optimal transport Biomedical imaging, deep learning, virtual reality, AI-driven image analysis Agentic systems, large language models Generative AI
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improved patient outcomes Integration of findings into translational research, collaborating closely with clinicians, imaging specialists, and bioinformaticians to optimize interventional oncology treatments
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optimization and validation and in addition, we aim to discover novel VHHs capable of crossing the blood-CSF barrier and delivering therapeutic cargoes to the brain. You will become an integral member of a
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. The HEXAPIC project aims to develop a novel high-performance Particle-In-Cell (PIC) code for plasma physics simulations, leveraging the capabilities of exascale computing systems. By optimizing PIC algorithms
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learning paradigms as well as interactive data- and model exploration with domain knowledge towards optimal performance in real-world generalization scenarios. AqQua is a large-scale collaborative research
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, a large initiative funded by the Danish Ministry of Foreign Affairs and managed by Danida Fellowship Council. Ethio-Nature aims to optimize the use of machine learning and remote sensing to site
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genomic approaches to investigate RNA regulation and therapeutic outcomes. Collaborate with experts in lipid nanoparticle formulation and delivery systems to optimize RNA targeting and delivery. Interpret
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optimizing electrode and membrane materials, we seek to enhance reaction kinetics, ionic conductivity, and overall fuel cell performance and power density, making hydrogen-powered drones a viable alternative
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Postdoc position (f_m_x) ,,Combining Physics-Based Machine Learning and Global Sensitivity Analys...
topic of induced seismicity? Then a position in this project might be appealing to you. The aim of the project is the further development and optimization of hybrid artificial intelligence systems. A
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, and international networking. Entry requirements We are seeking 1-2 highly motivated postdoctoral fellows with the following qualifications: A PhD in molecular biology, cell biology, biochemistry, or a