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-time; 5 years part-time; MSc (Research): 1 year full-time; 2 years part-time; Apply now Research projects Research projects A new role for the TPL-2 kinase in the nucleus Supervisor: Ruaidhrí Carmody
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Professor in Statistics for Omics_PD.pdf Where to apply Website https://www.timeshighereducation.com/unijobs/listing/405618/lecturer-senior-lec… Requirements Additional Information Work Location(s) Number
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Tenure Track in Sensory and Consumer Science at Department of Food Science, Aarhus University, De...
aligned to the Science Team ‘Food Quality Perception and Society’ (FQS) at the Department of Food Science http://food.au.dk/en/foodresearch/science- teams/food-quality-perception-society/. The Science Team
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collaboration with experimental scientists. Our group develops and maintains open-source software for data analysis, including HiCognition (https://www.hicognition.com) for interactive exploration of genomics
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funding. Deliver High-Quality Education: Develop and teach statistics and data science courses at undergraduate and postgraduate levels. Supervise Research Students: Guide MSc and PhD students in
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. Leads and conducts the research using advanced statistical analyses. Consults on the statistical analyses of MSc and PhD students and mentors them in writing code. Conduct data analysis of the MDI
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or related fields, such as Statistics or Applied Mathematics, at the time of being appointed, and they are expected to have very good teaching skills and a deep interest in teaching and working with
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regenerative power can lead to diseases like cancer, with far reaching impact to overall health.The Tissue Regeneration and Cancer MSc Research Programme, hosted by the School of Cancer Sciences, will deliver
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significant positive impact in the local community and the wider world. PhD: 3-4 years full-time; 5 years part-time; MSc (Research): 1 year full-time; 2 years part-time; Apply now Research projects Research
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. An MSc degree in a relevant area is desirable though not necessary. Any previous experience is desirable including: Working knowledge of quantitative and/or qualitative research methods – for example