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that demonstrate the model’s practical applications in reporting, analysis, or decision support. Contribute to academic publications, open-source releases, and capacity-building activities. Job Requirements: MSc
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to lead analysis of soil microbiome data, and to carry out plant genetic analysis (genomic selection and identification of quantitative trait loci and candidate genes), working alongside two other Research
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results of this study will be compared to NGS analysis of virus detection in a low complexity matrix. Overall, participation in the project will contribute to advancing the use of NGS for viral safety
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(or be close to submission) in palaeobotany, palaeobiology, or a related discipline, with experience in some of the following areas: Mesozoic plants, experimental taphonomy carbon isotope analysis and
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microscopy. Complete image data analysis to characterize extracellular vesicles. Your qualifications should include: A Ph.D. degree in Cell Biology, Bioengineering, Biophysics, or a related discipline is
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co-lead research using a whole-systems approach to the design, analysis, and assurance of AI/AS from engineering and sociotechnical viewpoints. A key focus area will be safety cases for AI/AS
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analysis to gain broad biological insight and on the development of computational methods to enable conceptually novel analyses. The research group is mostly computational with a small wet-lab component
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, basic and advanced molecular biology techniques. Experience and expertise with omics data analysis is highly desired. Candidates should possess excellent written and verbal communication skills, and
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systems Experience in large-scale data processing, signal analysis or real-world system deployment Proficiency in programming (e.g., Python) and ML frameworks (e.g., PyTorch, TensorFlow) Experience with
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to facilitate the imaging analysis. The position further involves regular and effective communication of results both within and outside of the immediate research environment, as well as collaboration with other