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Field
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relevant developments in AI, including methodological issues such as validity; The ability to deal flexibly, creatively, and inductively with complex data collection and analysis processes typical
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Max Planck Institute for the Physics of Complex Systems • | Dresden, Sachsen | Germany | about 17 hours ago
programme No Description/content The IMPRS for "Quantum Dynamics and Control" is a graduate school with its headquarters at the Max Planck Institute for the Physics of Complex Systems in Dresden/Germany and
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chronic disease, stress may actively contribute to disease onset and progression through complex biological mechanisms. This PhD project aims to decipher how different forms of stress influence inflammatory
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relating to cancer Experience of analyzing serum proteomic data Attention to detail and ability to work at high levels of accuracy Ability to present complex information effectively to a range of audiences
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substituted with vinyl units are key structural motifs in many biologically active molecules and complex natural products. Their efficient and selective construction remains a major challenge in modern organic
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). The project investigates how machine learning (ML) can be used to enhance the modelling of boundary layers in industrial CFD simulations, where complex geometries and computational constraints limit near-wall
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, uncertain, complex, and ambiguous conditions (Baran & Woznyj, 2020). Ineffective training in such contexts carries risks for both individuals and organisations. Well-designed training can substantially reduce
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matter is ubiquitous in water resources; this complex matrix is composed of natural and anthropogenic complex macromolecules. From soil studies, it is well known that stable radical species are ubiquitous
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complex, three-dimensional microstructure, and understanding how that microstructure influences electrochemical performance requires methods that can bridge the scales from 3D imaging to functional
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increasingly rely on data-driven models to extract, represent, and interpret information from complex and evolving environments. Traditional machine learning approaches, as well as many classical signal