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the development and adaptation of statistical models for analyzing the relationship between species distributions and climate Collaborate closely with other researchers, including other PhD students in connected
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degree (or equivalent) in biology, bioinformatics, genetics, molecular ecology, or a related field. A good knowledge and practical experience in molecular ecology, population genetics, and statistical and
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to descriptive statistics and at least one inferential model. Code must be included and clearly commented. This is required to demonstrate advanced quantitative skills. Applications without this portfolio will not
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, they will take part in group activities with the core project team, consisting of the PI, a postdoctoral researcher, and the other PhD research fellow. In addition, PROBONO is supported by a research
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-on experience in benthic ecology and statistical analysis are required. Additional experience in analysing biodiversity data, ship-based sampling, marine plankton (preferably meroplankton), handling and analysing
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(or equivalent) in biology, bioinformatics, genetics, molecular ecology, or a related field. Solid knowledge and practical experience in molecular ecology, population genetics, and statistical and bioinformatic
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species and vegetation ecology), advanced statistical modelling using R software, and conducting fieldwork under harsh environmental conditions. A successful applicant should have good skills in English and
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conferences and Be prepared for changes to your work duties after employment. Required selection criteria You must have a relevant Master's degree in acoustics, geophysics, physics or mathematics. Also some
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. The Department of Energy and Process Engineering (EPT) has established EPT Women in Science . The group is focused on supporting female Research Assistants, PhD Candidates, Postdoctoral Fellows and permanent
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permitting participate in physics performance validation activities. What skills are important in this role? The Faculty of Mathematics and Natural Sciences has a strategic ambition of being a leading research