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research, bioinformatics, and high-performance analytical technologies to explore the complex interactions between the human organism and food components. To strengthen our research group, Integrative Food
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advantage. • Passion and drive for an academic career. • High motivation, curiosity, and commitment to scientific excellence. • Team player skills and enthusiasm to work in a interdisciplinary, collaborative
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to pursue a doctoral degree (Ph.D.). Remuneration is 100% TVL E13 according to the German public sector rates. CCBE's interdisciplinary team is performing research in the broad field of computational methods
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use of machine learning methods to process complex data sets. The focus is on techniques such as ultrasound, radar, computed tomography, acoustic emission analysis, and infrared thermography. Industry
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academic performance. Experience with stochastic methods, risk and reliability analysis, and data analysis. Programming experience in Python, MATLAB, C/C++, or a similar language. Strong analytical
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team. You will be enrolled in the TUM Graduate School with its structured doctoral program and professional-skills courses. You will contribute to an French-German collaboration on next-generation
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, bioinformatics, and high-performance analytical technologies to explore the complex interactions between the human organism and food components. To strengthen our research group Molecular Modeling / Section III
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control software and machine learning expert. How you will support us: ▪ You will take on responsibilities in the field of control and operation of high-coherence superconducting quantum circuits, with a
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community health worker-delivered counseling intervention to encourage individuals with high blood pressure to seek formal care and engage with the health system. The study is based in Andhra Pradesh, India
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) “Data-driven agile planning for responsible mobility” (AgiMo), funded by the German Research Foundation (DFG). This interdisciplinary center, involving four universities (next to TUM, TU Dresden, TU