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that compromise cellular viability. Proteostatic decline is not merely a consequence of aging but an early, causal event whereby loss of proteostasis precedes and predicts organismal decline, and its onset is
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candidate will be involved in the development of model predictive control to operate the energy system and IT load largely self-sufficiently under varying weather conditions, with particular focus on the role
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the relationship between whole-tree water use and wood cell formation in trees, using advanced growth models to predict the future of wood formation and carbon allocation in forests facing drier conditions. Within
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | about 1 month ago
the application of various ML algorithms, including supervised algorithms for environmental predictions, as well as unsupervised algorithms for clustering and LLMs/Transformers Experience with sequence data
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proteomics Bioinformatic data integration and development of predictive biomarker models Clinical validation of findings using patient cohorts from both institutions Regular scientific exchange and
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(see references below), we want to open a new route to synthetic cells and to their spatial organization: high-resolution 3D printing to enable placement with µm precision into controlled landscapes and
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, many regions worldwide still struggle to meet acceptable standards. One challenge of predicting the effect of emission reductions is the strong non-linear connection between emitted species and the
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an increasing human population and counteracting climate change. However, little is known about crop proteomes – the entirety of proteins that execute and control nearly every aspect of life. Therefore, TUM