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Research Institute to work on drug target discovery and therapeutics in genomically unstable adult and pediatric cancers. The project is tackling an unmet need by identifying modality combinations
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-omics data to identify therapeutic targets and biomarkers. Study cardiomyopathy across models of diabetes, cancer, and pressure overload. Collaborate in an interdisciplinary team and contribute to high
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resource consumption policies with both short term and long-term climate targets. With DESNZ funding 40% of the project, you will work directly with senior policy makers delivering actionable insights
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vulnerability for potent cancer targeting. We develop Targeted Protein Degradation (TPD) therapeutic strategies to abrogate or rewire cancer cell signaling. For this open position, the project direction will be
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resource consumption policies with both short term and long-term climate targets. With DESNZ funding 40% of the project, you will work directly with senior policy makers delivering actionable insights
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contribute to identifying therapeutic targets with the potential to improve patient outcomes. This post is advertised as full-time (35 hours per week); however, we are open to considering part-time or flexible
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computational modeling, geometric morphometrics, multivariate and Bayesian statistics, spatiotemporal and spatial modeling (including GIS), causal inference, machine learning, AI, and statistical software
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/drawbacks. Experience with Bayesian statistics a plus. Experience with censored datasets a plus. Proven record in writing successful research proposals. Demonstrated ability of working in a multidisciplinary
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), clinical trials, disease surveillance, and the use of novel methods including Bayesian network, machine learning, social network analysis and dynamic data visualisation tools. Further information is
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• Internal and international lab rotations • Retreats and networking events including organization of international symposia • Targeted, individual career support. • The RTG ACME, MHH (8,428 employers