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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | 14 days ago
the structure from such data is challenging, and new theoretical methods and algorithms are required. The research project aims at deriving priors for Bayesian methods from atomistic simulations and machine
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development. Experience with implementing statistical learning or machine learning (e.g. Bayesian inference, deep-learning). Programming skills in Python and experience with frameworks like PyTorch, Keras, Pyro
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Physics Complex Systems Computer Simulation (more...) Fluid Mechanics Theoretical Physics / Complex systems including applications to biology Appl Deadline: 2025/09/30 11:59PM (posted 2025/07/22
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cardiovascular simulations, especially with regard to the estimation of biomarkers for image-based diagnostics. The project is a collaboration between WIAS (Research Group “Numerical Mathematics and Scientific
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methods to quantify the propagation of domain uncertainties in cardiovascular simulations, especially with regard to the estimation of biomarkers for image-based diagnostics. The project is a collaboration
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mass spectrometers and nano/UHPLC systems Experience with state-of-the-art proteomic workflows, including MS acquisition (e.g. DDA, DIA, PRM) and data analysis with dedicated software tools. Computer
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beschäftigt sich mit der theoretischen Entwicklung und Anwendung von Quantentechnologien auf Fragen der Grundlagenphysik. Die ausgeschriebenen Stellen sind Teil des Projekts „QS-Gauge: Quantensimulation von
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for multimodal inferences, combining computer-vision, environmental parameter measures and DNA data. Your role will be central in data acquisition and foremost machine-learning models creation. You will
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of how hotspots in human and marine mammal presence are distributed in affected areas. Acoustic ship models will furthermore help to understand and gauge the acoustic footprint of ships in various types
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talented individuals passionate about AI, Human-Computer Interaction, Eye-Tracking, and their responsible applications. Ideal candidates will have: • An M.Sc. degree (or equivalent) in Computer Science, Game