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experiments; supporting other group members with data analysis and interpretation from both simulations and experimental data; and use the developed framework to design new materials with optimised performance
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | 2 months ago
Planck School of Photonics or the Göttingen Graduate Center for Neurosciences, Biophysics, and Molecular Biosciences (GGNB). The PhD student will work on novel AI-aided data analytics, especially
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triggering and exacerbating disease processes. Within MICRO-PATH, the Systems Ecology group at the LCSB has an immediate opening for a highly motivated and talented doctoral candidate to work on the resolution
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inculcate interdisciplinary working in our next generation of researchers. Interviews will be online in late August/ early September. Project Description: The increasing use of encryption in IoT
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have the opportunity to work with a team of leading researchers, to undertake your own innovative research in and across the field. Eligibility You need to meet the entry requirements for QUT's Doctor
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, there is a wide range of world-class facilities available for a plethora of analysis methods. The MPI offers programs for balancing work and family life as well as further training opportunities and free in
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biology, and biochemistry. Plan, conduct, and contribute to experimental work. Identify and develop relevant methods for data collection, analysis, and interpretation. Develop expertise across scientific
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hepatitis C virus (HCV)) among migrants to high-income countries through systematic review and, if appropriate, meta-analysis; • building on previous work linking administrative immigration data with
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to the Principal Investigator, the Research Assistant will conduct part-time basic and translational research working on projects related to understanding the cellular and molecular basis of interneuron function and
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. The successful candidate will work on field-based experiments, data collection, and analysis, focusing on understanding the interaction between floral resources, pollinator activity, and apple yield outcomes