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of experimental modelling challenges and solutions. Advanced programming/data analysis and simulation skills. How to effectively communicate complex and novel research. Opportunities to develop lab demonstration
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you will have access to the supercomputing facility at Umeå University, and to unique large-scale data infrastructure (www.umu.se/en/research/infrastructure/umea-simsam-lab/ ) covering the whole Swedish
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apply online for this vacancy and to view further information about the role, please visit: www.jobs.cam.ac.uk/job/53941 . For informal enquiries, please contact Professor Florian Hollfelder via
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the application you agree that your personal data will be shared among the participating institutions (University of Tubingen, University of Hohenheim, Senckenberg) for the purpose and over the duration
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, agricultural sciences with a focus in economics, or related disciplines strong analytical and methodological skills with a focus on quantitative data analysis (e.g., econometrics, statistics, machine learning) a
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, and/or data analysis, to address topics related to one of: Understanding depth-related plasticity in the physiology and behaviour of mesophotic reef fish. Identifying depth-related changes in
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theory, robust and optimal control, and physics-informed modelling, this research aims to bridge the gap between data-driven learning and dependable real-world autonomy. Aim You will have the opportunity
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orla.williams@nottingham.ac.uk for more information Funding support After a suitable candidate is found, funding is then sought from the University of Nottingham as part of a competitive process (this will cover
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Electronic Engineering (Bio-electronics) (full time)' as the programme of study You will then need to provide the following information in the ‘Further Details’ section: a ‘Personal Statement’ (this is a
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, the candidate should be committed to: doing field work, wet-lab work, learning about bioinformatics, including R and shell programing, and analyzing data using population genetics tools and theories