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-academic, of between two and six months duration For further information on eligibility criteria and on Marie Skłodowska-Curie Actions Doctoral Networks in general, please refer to: Doctoral Networks - Marie
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driving invasion. You will work closely with our partners in African countries where An. stephensi has been detected to co-develop and implement the analysis plan for their data sets on mosquito vector
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Proteome Is Shaped by E3 Ubiquitin Ligases Targeting C-Terminal Degrons. Cell, 173 (7): 1622-1635. For more information, visit https://www.timmslab.com The successful candidate will be a highly motivated
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experience required can be found in the Job Description document, provided at the bottom of the next page after you click “Apply Now”. This document will provide information of what criteria will be assessed
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partners in African countries where An. stephensi has been detected to co-develop and implement the analysis plan for their data sets on mosquito vector ecology, dynamics and behaviour. You will use results
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research. You will be responsible for designing and implementing proteomic data analysis, with opportunities to apply your skills to integrating this with other data types (e.g. genomic and transcriptomic
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organisational, communication, and interpersonal skills. You will bring: Strong experience applying AI methods to complex data, ideally healthcare data A record of high-quality publications and presentations
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the Job Description document, provided at the bottom of the next page after you click “Apply Now”. This document will provide information of what criteria will be assessed at each stage of the recruitment
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adapt advanced machine learning frameworks (SPARKS and CEBRA) for supervised and unsupervised analysis of high-dimensional neural data to decode multisensory information Investigate how neural
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& robust control, and learning for dynamics & control. The main task of the PhD student will be to develop sound data-driven methodologies for learning control policies with provable guarantees