37 multiple-sequence-alignment PhD positions in Ireland-University-Ranking-2024 in Germany
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- Technical University of Munich
- Justus Liebig University Giessen •
- Brandenburg University of Technology Cottbus-Senftenberg •
- University of Bremen
- University of Kassel •
- University of Potsdam •
- University of Tübingen
- Dresden University of Technology •
- Hector Fellow Academy
- Heidelberg University
- Leipzig University - Guinevere Mathies
- Leipzig University •
- Leuphana University Lueneburg
- Saarland University
- Technical University of Darmstadt •
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project on transparent, agent-based AI methods to support multidisciplinary tumor boards in oncology. You will develop methods to transform heterogeneous oncology documentation into structured, time-aligned
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Antarctic Research, combines geochemical analyses, 16S rRNA gene sequencing, qPCR, and RNA-based stable isotope probing (RNA-SIP) using 13C-labelled organic material. We aim to identify these key fermentative
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Strong organizational and teamwork skills, flexibility, openness, and good communication abilities Basic bioinformatics skills and experience with single-cell sequencing data analysis FELASA certificate
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amplicon sequencing data, metagenomes, and metagenome-assembled genomes (MAGs) to identify patterns, trends, and gain deeper insights into the key organisms in these extreme habitats. Your main
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and its supporting infrastructure • realize on-chip pulsed DNP • design microwave pulse sequences for on-chip DNP using spin physics, numerical simulation tools, and quantum optimal control
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high-throughput sequencing to generate, analyze and integrate transcriptomic and epigenetic datasets To genetically (CRISPR/Cas9, shRNA) or pharmacologically (small molecules) perturb molecular targets
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for more than 3,500 treatment courses, aligned with the OMOP Common Data Model and robust data-quality rules Develop and evaluate agent-based AI functions for therapy-sequence support, clinical-trial matching and
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) and handling big data (sequencing, mass spectrometry, or similar) • Enthusiasm and background in establishing techniques in molecular biology, data management (big data, sequencing analyses) and related
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for autonomous optimization and design of materials, structures and processes Multimodal scientific AI – integrating language, images, sensor data and simulations Alignment for scientific AI – scalable oversight
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personalised course programme that aligns seamlessly with the student's research trajectory. Beyond the conventional classroom setting, we actively encourage students to broaden their horizons through research