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. Recent work of our group includes: o Robustness of neural networks (https://proceedings.mlr.press/v162/schwinn22a.html) o Novel threat models in LLMs (https://arxiv.org/pdf/2402.09063) o Efficient
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Genome-Scale Metabolic Models (GEMs) and multi-omics data for optimizing biomethane production in biogas plants. Specifically, the study aims to investigate anaerobic digestion processes in biogas plants
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the circular economy and create sustainability assessments for products, processes and services. As part of your Master's thesis, you will develop a dynamic, software-based system model for plastic cycles. With
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collaboration with experimental partners in a range of model systems – from sarcomere patterns in muscle cells to biomineral shells to transport networks in the pancreas and other three-dimensional tissues. A
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environment. We are creative, we shape technology, we design products, we improve processes, we open up new paths. Our clients value our modelling competence, algorithms and software products. We
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Utilize data tools (R/Python) for data processing, modeling, and visualization What you bring to the table Studies in the field of biology, agriculture, or environmental engineering Experience in
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to represent ring-porous trees fit of species-specific parameters of the model using wood anatomical data from provenance trials involving Fagus sylvatica and Quercus rubra simulation experiments on individual
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implementations to represent ring-porous trees fit of species-specific parameters of the model using wood anatomical data from provenance trials involving Fagus sylvatica and Quercus rubra simulation experiments
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teams Mission intelligence for autonomous decision-making Fusion, modeling, and construction of complex sensor systems Automatic calibration and synchronization of sensors Generation of unique multimodal
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, and late fusion Vision-language models for autonomous decision-making in drone systems 3D reconstruction via Gaussian splatting and neural radiance fields (Cooperative/semantically informed) tracking