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Max Planck Institute for Biological Cybernetics, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 23 days ago
interacts with the prefrontal cortex to integrate interoceptive signals and guide higher-order cognition. Combining ultra-high-field layer fMRI at 9.4 Tesla, diffusion MRI, and machine learning in humans with
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Planck Institute of Colloids and Interfaces (MPI-KGF) Teaching language English Languages All activities are in English. English, German and French courses are offered. The PhD thesis may be written in
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diverse research network spanning AI, computer science, mathematics, engineering, physics, and the life sciences. What we offer A structured three-year PhD program at the interface of AI and biomedical
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be sent via https://www.application.mps.mpg.de/public/ See also: https://www.mps.mpg.de/phd/star-planet-interactions Where to apply Website https://www.application.mps.mpg.de/public/ Requirements
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, but also that of several cross-linked research areas. Even more challenging, working at the interface of two fields such as photonics and biomolecular dynamics requires the combination and merging
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degree programme No Description/content Data Science is a scientific field that has emerged at the interface of computer science, mathematics, statistics and applications. It is interdisciplinary by nature
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Kurt Schwabe Institute for Measuring and Sensor Technology e.V. (KSI) Meinsberg | Waldheim, Sachsen | Germany | 3 months ago
- Contribution to a machine-learning-driven experimentation platform - Comparison of automated and manual experiments Your profile: - Master’s degree in chemical engineering, biotechnology, chemistry, physics
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important roles: data management and engineering, machine learning and data analytics, signal and image processing, algorithm design, optimisation and simulation, software engineering and automation and
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with a strong background in mathematics, computer science, or machine learning. The work has a strong focus on developing new objectives or new architectures for medical deep learning and on new ways
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mechanisms occurring in these materials and their synthesis over all relevant length scales (e.g., cutting-edge ab initio methods, atomistic simulation methods, multi-scale modelling, machine learning) High