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research group focusing on sustainable critical raw materials recycling, green organic synthesis and mechanochemistry. He and his evolving group are hosted at the Synthesis and Analysis floor by Professor
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. Essential qualifications PhD in computational statistics, bioinformatics, systems biology, or a related field. Strong expertise in statistical methods, including machine learning approaches, for analysis
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integrating transcriptome, chromatin access and transcription factor binding datasets at bulk and single cell resolution with the aim to connect these profiles with the underlying regulatory networks, and
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learning methods, with strong analytical and programming skills (e.g. R or Python) Experience of undertaking accurate, reproducible data preparation and analysis A track record of peer-reviewed research
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frameworks, bioinformatics, data analysis, data science, discrete and machine learning algorithms, distributed, intelligent, and interactive systems, networks, security, and software and database systems
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. The project combines quantitative modelling of markets and the wider energy system with empirical analysis of how flexibility is created, priced, and traded by market participants. A central objective is to
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generation and analysis Advanced molecular biology methods Animals models of inherited eye diseases Postdoctoral researchers have a teaching load of up to 10% of their annual working time. The chosen applicant
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together with research group members and collaborators in data analysis and management, as well as producing scientific outputs • Contributing to preparing funding applications What we offer The support
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components: a job-related salary element and a personal salary element. For a Postdoctoral Researcher, the job-related salary element is based on level 5 of the job requirement level chart for teaching and
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for an engaged postdoctoral researcher, who is an expert in qualitative methods and that has an interest in cooperatives. The work will involve: Conducting qualitative comparative analysis (QCA) to examine factors