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Field
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electron microscopy design and implement deep learning models to enhance resolution of large field-of-view imaging techniques integrate imaging data across modalities for improved spatial resolution and
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remuneration in accordance with the collective agreement for the public sector (TVöD) Company pension scheme The position is initially limited to three years and part-time We offer flexible working time models
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performance. They apply and develop a broad range of interdisciplinary technologies ranging from genetics and genomics to structural biochemistry, advanced imaging and computational and mathematical modelling
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Max Planck Institute for Intelligent Systems, Tübingen site, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 2 months ago
, virtual reality, biology and medicine. Using unique 3D & 4D capture facilities, machine learning, computer vision and advanced graphics, we are modeling humans and animals shape and behavior. In the Eye
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strategy, a probabilistic (e.g. Gaussian Process Regression) model to describe the relationship between process parameters and material properties will be developed and subsequently exposed to Bayesian
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-scale modelling, machine learning) High resolution analysis, monitoring of chemistry, structure and transformations at the atomic scale of buried interfaces and defects by correlated experimental
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models to collaborate, adapt, and forget outdated knowledge intelligently, and a DFG-funded project on distributed optimization and scalable training of deep neural networks, including transformer
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as host model (Bartfeld lab) Immune–Metabolic Adaptation in Pregnancy: Implications for Offspring Health (Diefenbach lab) Variant Surface Antigen Expression in chronic Plasmodium falciparum carriage
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systems, mainly plants. The BM^2 Lab is mainly computational and uses ad-hoc developed modeling tools such as MorphoMechanX to provide explanatory and predictive scenarios for developmental problems. We
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pluripotent stem cell (iPSC)-derived MNs to investigate RNP granule dynamics in a physiological model. We generated FUS-eGFP reporter iPSCs for live-cell imaging of RNP granules, facilitating compound screening