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inviting applications for a PhD Student (f/m/x) for the project Theory and Algorithms for Structure Determination from Single Molecule X-Ray Scattering Images Project description Single molecule X-ray
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Master’s degree (or equivalent) in Biology, Chemistry, or a related field. A strong interest in evolutionary biology, behavioral ecology, and chemical ecology. Excellent communication skills in English, as
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selectivity mechanisms in potassium channels Simulation of electrophysiology experiments Please indicate in your application which of the above listed projects is most intriguing for you. Your profile
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play a central role in this interdisciplinary initiative. They will: Develop and apply machine learning (ML) methods – including surrogate modeling, feature extraction, and inverse design algorithms
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play a central role in this interdisciplinary initiative. They will: Develop and apply machine learning (ML) methods – including surrogate modeling, feature extraction, and inverse design algorithms
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learning and data analysis experts. The main tasks include the analysis of complex biomedical data using modern AI methods, as well as the development of novel machine and deep learning algorithms
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available at www.ep.mgt.tum.de/pur Application Please send a cover letter that explains how this position fits with your experiences and goals, your curriculum vitae, a list of references and copies of key
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, disabled candidates will be given preference. Please upload complete application documents (cover letter, curriculum vitae, certificates, list of MSc courses and grades, copy of the master thesis, reference
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) Applications must include a cover letter describing research accomplishments and interests, a CV plus publication list, and contact details of 2 referees. Please send your complete application documents
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the environment, including traffic conditions, travel time, and cost. The project will define the DRL components (states, actions, rewards, policies), select and implement suitable DRL algorithms, and integrate