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PostDocs in the group to express and characterize enzymes, develop analytical assays, and engineer enzymes using cutting-edge experimental and computational tools. Within the framework of BiONiX, you will
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this, there are further sub-objectives during the investigation to achieve this goal: Predict thermal warpage effects on a supersonic intake at different flight times, coupled to a numerical model for the downstream
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, ranging from soft matter to biology to synthetic chemistry. The laboratory benefits from numerous academic and industrial partnerships in France and worldwide. Its openness, recognition, and state
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Candidate Human-Centered Interpretable Machine Learning (1.0fte) Project description In recent years, practitioners and researchers have realized that predictions made by machine learning models should be
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well as willingness to participate in large collaborations. Theoretical and numerical skills will be prioritised. Evidence of experience in scientific writing and outreach are a plus. Our offer A stimulating scientific
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Saelens team. Research Project In this research project you will develop probabilistic deep-learning models that automatically extract biological and statistical knowledge from in vivo perturbational omics
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and manipulating complex data structures, Bayesian modeling, analyzing nested longitudinal data, and who are familiar with techniques for handling challenging data (e.g., highly non-normal distributions
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Saelens team. Research Project In this research project you will develop probabilistic deep-learning models that automatically extract biological and statistical knowledge from in vivo perturbational omics
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, postdocs, senior researchers, a senior lecturer, and a professor, providing a stimulating and supportive setting for doctoral studies. Read more about our benefits and what it is like to work at SLU at https
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. Presently around 100 people, including 35 PhD students and 15 postdocs, in 25 research groups work at DEEP. For more information about us, please visit: the Department of Ecology, Environment and Plant