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(e.g. RNAi, CRISPR/Cas9, small-molecules). In this context, we also develop new computational tools for automated analysis and data visualization. These include algorithms and software applications
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about and presenting scientific data Interest in working in a collaborative network of friendly scientists around the world Our offer The position offers an extremely international, well-equipped, and
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(including NIH T32 funded slots), pre-doctoral internship and graduate student practicum levels. The Department also maintains comprehensive clinical-research and data science resources. Shared institutional
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experimental studies using animal models and human cells Planning and conducting animal experiments Analyzing, documenting, and presenting experimental data and results Actively participating in scientific
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to conferences For more information concerning this position, please contact Prof. Bertinelli, email: Your profile We are looking for a candidate with a PhD in economics, preferably with a specialization in
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innovative strategies to improve human health. HT is composed of five Centers: Health Data Science, Genomics, Computational Biology, Neurogenomics and Structural Biology. The Centers work together to enable
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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Aarhus University with related departments. Contact information Before applying or for further information, please contact: Associate Professor Aurelien Dantan, +4523987386, dantan@phys.au.dk . Deadline
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Postdoctoral Researcher Position in Ecological Knowledge-Guided Machine Learning at Aarhus Univer...
on “Integrating AI into Aquatic Ecosystem Models to Decode Ecological Complexity” funded by Villum Fonden. Within that project, the focus is on exploring novel ways to infer information from environmental data
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scientific discovery and improving patient outcomes. This position is responsible for designing and executing research projects, analyzing complex imaging data, developing innovative imaging methods, and