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Field
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), ecological processes (primary productivity and decomposition rates), and greenhouse gases (3D-printed flux chambers), and investigating how we can use citizen science-driven data streams for model development
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the drafting of clinical studies including defining goals and objectives, milestones for completion and developing budgets for support. Assists in drafting Institution Review Board submissions. This includes
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on characterizing the structures and functions of viral RNAs, with potential applications for the development of new antiviral therapeutic approaches. The IBMC is a renowned research unit under the supervision
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at how to apply for a research degree . In your EOI, nominate Dr Crichton as your proposed principal supervisor, and copy the link to this scholarship web page into question two of the financial details
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research together with cutting-edge materials science and physics. Depending on your background you will work collaboratively on the following tasks with either with a stronger model-development or
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University, you will develop innovative methods to make geographic data smarter and more question-aware, contributing directly to the future of spatial reasoning and sustainability. Your job Answering
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at the development of a rapid bacteriophage-based and culture-independent point of care (POC) device to profile nosocomial bacteria in respiratory tract infections. 2. Applicable Legislation Decree-Law no. 57/2016
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Leibniz-Institute for Plant Genetics and Crop Plant Research | Neu Seeland, Brandenburg | Germany | 8 days ago
related to staff position within a Research Infrastructure? No Offer Description The Quantitative Genetics research group is interested in developing statistical genomics toolboxes to decipher the genetic
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of subclonal variation in cancer, we have developed a set of single-cell multiomics methods, such as DNTR-seq for joint WGS/mRNA-seq (see: Zachariadis et al. Mol. Cell 2020, Andrews et al. Nat. Methods 2021
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SQL databases and file repositories. We are now taking the next strategic step: developing ontologies and a dynamic knowledge graph to semantically link our internal data systems - and connect them