16 software-defined-networking-"IMEC" Fellowship positions at University of Birmingham
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expected to plan appropriately for their own future career development, which may include networking and submitting funding applications. This is a fixed term post of up to 20-months duration. Main Duties
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annotation of these metabolomes using multistage fragmentation (MSⁿ) data, incorporating novel computational methods and strategies (e.g. spectral matching, network-based approaches, machine learning) where
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to writing of journal articles and conference presentations Operate within area of specialism and collaborate with a wider interdisciplinary research team Participate in wider networks, including the Adult
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project ‘The Cerebra Network’, funded by Cerebra. The Research Fellow will be split 50/50 between the two projects for the first three years (overall 1.0 fte), and then work solely on the Cerebra Network
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the origin of seed gene networks”. This project aims to use reverse genetics, cross-species complementation and single cell next-generation sequencing approaches to investigate how the gene networks
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conduct original, foundational and applied research on the application of Quantum timing devices to networked radar systems and to evaluate their feasibility and performance limits through a combination of
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clearly. Ability to assess resource requirements and use effectively. Ability to identify and learn new techniques and software skills, through self-study, training and/or CPD. Work within specified
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the appropriate area. Familiarity with statistical analysis software (e.g., STATA, R, SPSS) or computer programming (e.g. C++, Python, R) and experience working with health-related data will be advantageous
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disciplines related to the UKRI-funded Supergen Network Plus on AI for Renewable Energy (SuperAIRE). You will also collaborate with different regional and national policymakers and stakeholders, including
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research area or equivalent qualifications Experience in working with mixed methods of research is desirable Familiarity with quantitative data analysis software such as STATA and SPSS or similar Experience