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, protocol selection and bioinformatics analysis, we hope to enable world-leading research. You can find more information at ngisweden.scilifelab.se . The employment will be placed at the Department
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Friedrich Miescher Laboratory of the Max Planck Society, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 3 days ago
Job Offer from September 09, 2025 The Friedrich Miescher Laboratory (FML) of the Max Planck Society comprises four junior research groups that deal with different areas of biology. The FML
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thereafter (depending on whether or not a candidate has been selected). Activities The postdoc (M/W) will contribute to different research aspects on the project: Study/analysis of cryosphere (cryoconite, ice
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degree in bioinformatics, data science, computer science, scientific computing, or associated field Documented experience with AI methods for analysis of tabular dataset and image-based data including deep
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. The postdoc (M/W) will contribute to different research aspects on the project: • Study/analysis of cryosphere (cryoconite, ice, sediment, soil) environments and microbiomes (experimental and observational
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are generated in mammalian development. You will be responsible for carrying out experiments designed to advance specific semi-independent projects using a range of different techniques. You will have a degree in
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responsibilities The post holder will be responsible for teaching and research in the field of bioinformatics, across programmes. You will contribute to the design and delivery of learning and teaching materials
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. We have a truly global community, with more than 39,000 students from 170 different countries and over 9,000 staff of 100 different nationalities. The Research Computing team at the University of Leeds
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infrastructure evolves, this position is likely to present diverse and flexible opportunities - from deeper and more complex software design problems, to becoming more involved in the bioinformatic and analytic
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physiological balance. Perform LC/MS based proteomic analyses of circulating proteins and assess their impact on organs in mouse models and cell cultures. Analyze and interpret omics data using bioinformatic