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will have a PhD in a relevant scientific discipline and sufficient specialist knowledge relevant to the project to be able to make a start on day one – we do not expect everyone to have all the skills
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-biology ), a multidisciplinary team representing a broad base in tree genetics, physiology and computational modelling. You will be co-supervised by Tanja Pyhäjärvi and Jarkko Salojärvi, who have active
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English proficiency level, nationality, visa requirements, date of birth, experience overview, and publication list. Contact information for at least three academic references. A support letter will be
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, faculty members, researchers, and students are revolutionizing focus areas in advanced manufacturing, bioengineering, computational engineering, energy and the environment, product design, and robotics. In
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the UKRI through the Frontier Guarantee Programme to Dr Jani R Bolla. The work is to be conducted in his lab in the Department Biology, University of Oxford, South Parks Road, Oxford, OX1 3RB
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contribution to the literature, (5) alignment with the ERC project. Academic CV (including list of publications) Two writing samples (publications or PhD chapters) Interviews are expected to take place on the 10
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the following qualifications: PhD in Physics, Chemistry or Materials Science, you must hold a doctoral degree awarded no more than three years prior to the application deadline. * Experience from first-principles
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qualification in Genetics, Bioinformatics, Computer science, Data science, Statistical Genomics or a related discipline involving the interrogation of ‘omics’ datasets. Hands-on experience with large-scale human
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with the attributes listed in the requirements section are strongly encouraged to apply. Education Requirement: PhD or equivalent in psychology, neuroscience, cognitive science, biomedical engineering
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for this position, the following is required: PhD in systems engineering, computer science or informatics, and the subject of the thesis should be relevant to the task description provided above (e.g. digital twin