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to collaborate with doctoral students and interest in scientific supervision of doctoral students Very good written and spoken English Independent, creative, and structured scientific approach with motivation
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15 Jan 2026 Job Information Organisation/Company University of Stuttgart Department Institute of Building Structures and Structural Design Research Field Biological sciences » Biological engineering
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the subject of your intended project Experience in university teaching Good communication skills and the ability to work well in a team The ability to work independently and in a structured way Language skills
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sequencing, analyze the functional repertoire of the microbiome via metagenomic sequencing and metagenome-assembled-genome (MAG) construction, and decipher the phytoplankton host’s response through RNA
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Oldenburg Oldenburg, Niedersachsen | Germany | about 2 months ago
annotation, population genomics, quantitative genetics, epigenetics, and gene expression analyses Use population genomic approaches to estimate population structure, history and introgression Use quantitative
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University of Jena - Cluster of Excellence "Balance of the Microverse" | Jena, Th ringen | Germany | 2 months ago
human health benefits. The affiliated early career program of the Jena School for Microbial Communication offers an ambitious, structured and interdisciplinary post-graduate training based on top-level
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | about 2 months ago
collaborators # Ability to set individual goals, self-structure and fulfill milestones # Parallel programming, ideally in C++ and with GPUs # Knowledge with Python # Excellent command of English (spoken and
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focus on agent-based modeling and the quantitative analysis of spatial structures in experimental data. In doing so, you will develop your own research focus, support conceptual work, and contribute
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to assess functional, metabolic, and structural parameters of both brain and heart. Innovative imaging strategies will be implemented to enable simultaneous or temporally coordinated multi-organ measurements
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-funded AI research group “Fusing Deep Learning and Statistics towards Understanding Structured Biomedical Data (DeSBi)” development of deep neural networks and machine learning algorithms for the analysis