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prototypes, conducting laboratory and field evaluations, and analyzing experimental data. The role also involves preparing technical documentation and contributing to scientific publications. Organizational
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experimental data. The role also involves preparing technical documentation and contributing to scientific publications. Organizational Status This position reports directly to Dr. Taghipour. This position will
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. However, as membrane-bound proteins, these receptors are extremely challenging to study using conventional analytical approaches. In this project, you will apply cutting-edge nuclear magnetic resonance (NMR
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; EPSRC Centre for Doctoral Training in Green Industrial Futures | Edinburgh, Scotland | United Kingdom | 3 months ago
, further exploring the carbon-related impact of polymer breakdown. The project will also incorporate artificial intelligence (AI) and machine learning to optimise degradation processes and data analysis
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dune datasets along the Dutch coast. Using remote sensing, you will create a national dune vegetation dataset and compare it with dune morphology data to assess the role of vegetation in decadal dune
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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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(REMMIDE). Responsibility includes analysis of eye movement data using various existing analytical approaches, you will also develop new methods for the analysis of concussion and control fixational eye
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are particularly interested in new faculty with foci in Marketing Analytics and Digital Marketing. You must be present on campus for the role. Informal enquiries about this position can be made to Professor Stuart
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interpretation of the data generated and that’s where this project comes in. You’ll be applying metagenomic techniques to respiratory samples and developing analysis and interpretation approaches that facilitate
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acceptability. D2ET will develop a comprehensive digital platform for planning energy transition scenarios, leveraging a consolidated data model and advanced analytics to facilitate strategic decisions with