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Max Planck Institute for Intelligent Systems, Tübingen site, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 8 days 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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Collaborative Doctoral Project (PhD Position) - AI-guided design of scaffold-free DNA nanostructures
nano-structures. In this project, we will combine numerical models, experiments, and artificial intelligence (AI) to guide the design of specific DNA nanoconstructs. The primary goal is to build an AI
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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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design of experiments strategy, a probabilistic (e.g. Gaussian Process Regression) model to describe the relationship between process parameters and material properties will be developed and subsequently
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partner from data sciences provides data management and AI based Image analysis, an internal simulations group working on quantitative models to reproduce and predict experimental data, and an internal
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analysis framework that supports flood-resilient urban design by combining multi-sensor Earth observation (EO) data, hydrological–hydrodynamic models, urban digital twins, and advanced AI methodologies
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Athanassiadis and Dr. Dimitris Missirlis. This project will involve the design, modelling and construction of custom acoustic transducers and holographic lenses to shape acoustic fields in vitro and in vivo , as
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studies using cell culture models (3D culture, expression of mechanosensitive channels) Hands-on training in ultrasound stimulation, custom transducer designs and cell culture setups, live-cell imaging and
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resolution across large genomic datasets. We focus on cancer models (osteosarcoma, breast cancer, leukemia) and on neural progenitor cells to understand how genome instability contributes to tumor initiation
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modelling in various plant species. All available projects are detailed where applicants will also find more information about the host groups. Your profile You are a highly qualified and motivated student