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include designing and executing experiments to interrogate host-microbe interactions, analyzing and interpreting microbiome sequencing and/or metabolomics data, developing novel computational or analytical
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, proteomics, bioinformatics, or a related field Strong experience and a passion for mass spectrometry-based proteomics, computational biology, and large-scale data integration Interest in plant immunity
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. While the effectiveness of other fields of international law, in particular human rights law, is a well-established academic field, there are few large-n studies of International Refugee Law in practice
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. While the effectiveness of other fields of international law, in particular human rights law, is a well-established academic field, there are few large-n studies of International Refugee Law in practice
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., active learning and other data-efficient approaches Conduct large-scale benchmarking and comparative evaluation of gene perturbation models across diverse single-cell datasets Collaborate closely with
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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Gorlitz, Sachsen | Germany | 16 days ago
3 Apr 2026 Job Information Organisation/Company Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association Research Field Other Researcher Profile Recognised Researcher (R2) Established
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. Weinstein (DTU Chemistry) to develop novel molecular ML methods and use them to control, steer, and learn from large scale wetlab experiments. You will deploy these methods in collaboration with Prof. Katrine
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18 Apr 2026 Job Information Organisation/Company UNIVERSITY OF SYDNEY Research Field Sociology Ethics in health sciences Psychological sciences Researcher Profile Recognised Researcher (R2
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, and biomedical data science Develop and evaluate new methods for causal and predictive inference, and decision-making using large-scale and/or multi-source data Collaborate with faculty and research