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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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) 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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. 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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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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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
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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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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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If registered at BerGSAS application portal ( https://application.berliner-antike-kolleg.org/bergsas ), you will find at the bottom of the form the list documents required. This includes among other things
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Berlin) and by the DAAD. Application documents If registered at BerGSAS application portal ( https://application.berliner-antike-kolleg.org/bergsas ), you will find at the bottom of the form the list