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must include the following documents in PDF format: 1. Motivated letter of application (max. one page). 2. CV incl. education, experience, language skills and other skills relevant for the position 3
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language models and structural data. Build systems biology frameworks to characterize time-resolved protease network activity during tissue repair. Validate identified biomarkers through targeted proteomics
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. one page) Your motivation for applying for the specific PhD project Curriculum vitae including information about your education, experience, language skills and other skills relevant for the position
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Curriculum Vitae (CV) Diplomas (bachelor and master's degree diploma) Applicants WHO are planning to complete a doctoral thesis in English and who do not have English as a first language or WHO have not
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statistics Ability to present and report technical results Ability to work in a project team and take responsibility for own research goals Fluent in communicating and reporting in English If you are excited
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architectures, and large language models (LLMs) as powerful tools for uncovering, quantifying, and interpreting causal information flow within the brain’s dynamic networks. Your competencies Prospective
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) Applicants WHO are planning to complete a doctoral thesis in English and who do not have English as a first language or WHO have not completed an English language-based Master's programme (or an equivalent
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contribute to teaching at BSc and MSc levels. Present your research at national and international scientific conferences. Collaborate with a PhD student at the Technical University of Munich working on a
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(bachelor and master's degree diploma) Applicants WHO are planning to complete a doctoral thesis in English and who do not have English as a first language or WHO have not completed an English language-based
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programming languages such as C/C++, Python, Julia or similar. Experience with mathematical optimization software. Experience with machine learning packages. Excellent communication in English and interpersonal