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experiments playing an important role not only in motivating and inspiring the mathematical approaches, but also in providing the data sets against which the models can be validated. The principal focus
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implementing ecological fieldwork, Strong analytical skills to synthesise complex data, Excellent written, verbal and visual communication skills, including the ability to communicate effectively with a wide
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Synthetic Biology, Molecular Plant Pathology, Comparative Genomics, Transposon Biology, Cell biology, or Related Field High level analytical capability Ability to communicate complex information clearly
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highly-ranked journals. Demonstrable ability to present research papers at international conferences and communicate complex information to specialists and within the wider academic community. Experience
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disease. Together with other members of the team, the post-holder will design parallel tasks for rodents and humans and apply comparable analytical approaches to data across species. Cell and circuit
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-reviewed journals and at conferences. You will have a proven ability to act as a source of information and advice on specialist methodologies or analytical approaches. A forward-thinking, collaborative
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. Ready to be part of our team? Welcome aboard! Your personal sphere of play: At the Departement of Analytical Chemistry, Prof. Gerner, we are seeking a post doc with experience in postgenomic bioanalytical
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the deployment of teaching expertise across the Faculty. The Faculty has unparalleled expertise in basic, translational and clinical research in: analytical and forensic science; asthma and allergy; biophysics and
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the deployment of teaching expertise across the Faculty. The Faculty has unparalleled expertise in basic, translational and clinical research in: analytical and forensic science; asthma and allergy; biophysics and
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develop an analytical framework to achieve the grant objectives. The post holder will model ecological niches of feeding and breeding grounds in extant whale migratory species, for which occurrence data