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Field
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novel machine learning-guided approaches. The position is located at TUM Campus Heilbronn. Your qualifications Strong background in computer science, AI, or related areas or similar fields. Solid
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materials, we seek a Ph.D. STUDENT for high performance lithium-ion battery electrodes (F/M/D). Desired starting date: July 1st , 2025 (or sooner), salary level E13 TV-L 60%, contract limited to three years
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and analyze multi-omics high-throughput data to predict food quality. Teaching responsibilities include courses in the university’s bachelor and master programs, specifically in the joint bioinformatics
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management of factory operations. In the Department of High-Precision Machine Systems at IPK, microproduction, medical and materials technology, as well as microbiological and biotechnological competencies
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on thin-film lithium niobate for high-speed data transmission, quantum communication, and sensing applications Scientific support of FAB personnel in the fabrication of wafers Characterization of fabricated
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variety of computational tasks, including, but not limited to, mutation calling, bulk and single-cell RNA-seq analysis, and ChIP-seq/Cut&Run datasets; to perform large-scale data integration of single-cell
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management of factory operations. In the Department of High-Precision Machine Systems at IPK, microproduction, medical and materials technology, as well as microbiological and biotechnological competencies
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with high-performance computing (HPC) infrastructures is advantageous Excellent analytical and problem-solving capabilities Proven track record of publishing in reputable scientific journals and at
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Research Center (CRC) “Data-driven agile planning for responsible mobility” (AgiMo), funded by the German Research Foundation (DFG). This interdisciplinary center, involving four universities and the German
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) program - one of the four scientific pillars of the upcoming FAIR (Facility for Antiproton and Ion Research) facility currently entering its commissioning phase. In particular, the DESPEC experiment