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, optimize and extend existing setups, develop a novel setup to perform an absolute radiometric calibration Perform a line-of-sight calibration to precisely align the instrument’s viewing geometry with
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-solving skills preferably skills in next generation sequencing-based methods and bioinformatics/computational data analysis Benefits: international working environment with communication in English and
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Leibniz Institute of Ecological Urban and Regional Development (IOER) • | Dresden, Sachsen | Germany | 1 day ago
conceived research proposals that align with IOER’s research. The programme aims to equip PhD candidates with the knowledge and skills necessary to successfully complete a doctoral dissertation, which may be
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single cell sequencing analyses of mouse and human bone marrow cells at leukemia onset, throughout the course of treatment and upon relapse. Ideally, the candidate brings in strong expertise in cell
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: Nuclear mRNA export is an essential step in eukaryotic gene expression, ensuring that mature transcripts are delivered from the nucleus to the cytoplasm for translation. Multiple challenges are faced in
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candidates with disabilities. If multiple candidates prove to be equally qualified, those with disabilities or with equivalent status pursuant to the German Social Code IX (SGB IX) will receive priority
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academia and research. We therefore expressly encourage women to apply. The University is a certified family-friendly university. We welcome applications from candidates with disabilities. If multiple
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cell sequencing datasets and to combine these data with AI analyses from bone marrow smears. We aim to analyze mechanisms and also to develop new biomarkers for therapy response and resistance. Job-ID
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to precisely align the instrument’s viewing geometry with the satellite’s star cameras Support the integration of the optical payload into the satellite at our partner site in Boulder, Colorado Participate in in
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aspects of modern ML systems. Current research directions include the ERC Consolidator Grant CollectiveMinds, which aims to make machine learning more sustainable and efficient by enabling multiple smaller