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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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plant genetic mechanisms that coordinate mycorrhizal interactions with plant P and water status, root system development, and soil microbial communities. Using maize and rice as models, we will: 1
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explanation of the home university’s grading system Proof of English language skills (e.g., TOEFL, IELTS – optional) Documents certifying completed practical work (e.g., internships – optional) List
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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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. Master's degree certificate and corresponding transcript of records. In some Key Subject Areas: further subject-specific requirements as listed in the application portal. If already applicable: copy of your
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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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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
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to work independently or in a team Preference will be given to candidates with evident experience in the listed fields What we offer Training in cryo-electron microscopy and interfacing techniques