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Field
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methods experience in the statistical analysis of research results or willingness to acquire such experience willingness to conduct a research stay for several month at another institute very good knowledge
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, biology (or related fields) with a focus on farm animal behaviour and welfare. interest and/or experience in animal behaviour, statistics, and computer-based data analysis. documented research experience
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and applying new skills. Experience with programming in Python and a working knowledge of statistics It would further be beneficial if you have some of the following skills: Hands-on experience with
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algorithms. Graph Neural Networks. The candidate is expected to hold a relevant MSc degree in Computer Science, Data Science, Physics, (Applied) Mathematics, Computational Statistics or another field
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methods experience in the statistical analysis of research results or willingness to acquire such experience willingness to conduct a research stay for several month at another institute very good knowledge
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awarded 1 Eligible courses Enrolled in HDR Spatial Sciences Eligibility criteria Australian or New Zealand citizen or an existing Australian Permanent Resident Full-time enrolment Successful recipient must
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teach you many translatable skills and knowledge from the fields of sleep medicine, sleep physiology, statistics, artificial intelligence, and psychology for example. A very significant and specific
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record of scientific productivity is preferable. The successful applicant must have a Ph.D.in Computer Science, Data Science, Statistics, Mathematics, Physics, Engineering or related field at the start of
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working with live animals. Excellent skills for data handling and statistical analysis. Strong written and oral communication skills in English. Ability to work both independently and as a part of a team
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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