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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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and writes English fluently, speaks Swahili and preferably also Maasai and has obtained good results in the Master phase. The PhD candidate should have a background (MSc, Research Master) in Economics
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. The candidate will provide guidance and support to MSc and PhD students, assisting in the supervision and training of junior researchers in areas such as device fabrication, biosensor assembly, and
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principles that regulate host-pathogen interactions and feedback, using a combination of quantitative imaging, microfluidics, statistical analysis and machine learning tools. A specific focus will be put
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post; public engagement or outreach • Preferably demonstrable experience in academic writing for publication, e.g. peer reviewed paper(s) and/or report(s) • Advanced statistical software skills
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and be able to work as part of a team to achieve ambitious goals Teach and co-supervise BSc and MSc student projects Potentially participate in Arctic field campaigns We expect that you have: Experience
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Dutch MPhil or Research Master’s degree in Economics or Econometrics is preferred Candidates with an MSc or MA degree are required to successfully complete 1 year of courses at the graduate school
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-disciplinary teams, assist in supervising undergraduate, MSc and PhD students, submit publications to refereed journals and attract external research funding. What we are looking for: Applications are welcome
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on this work by using molecular methods to unravel the forces that modulate mutagenesis across the genome of mutagen-exposed cancer cells. You’ll be introduced to advanced statistical and computational methods
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amplification and the origin of chirality. We are looking for enthusiastic and talented candidates with: A MSc degree in chemistry or a related field. A clear interest in collaborative multidisciplinary research