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techniques (a must). You have basic botanical knowledge (recognition of plants in the field, knowledge of morphology and anatomy) and are proficient in handling large data sets (a plus). Experience in teaching
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At the University of Vienna more than 10,000 personalities work together towards answering the big questions of the future. Around 7,500 of them do research and teaching, around 2,900 work in
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At the University of Vienna more than 10,000 personalities work together towards answering the big questions of the future. Around 7,500 of them do research and teaching, around 2,900 work in
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At the University of Vienna almost 11,000 personalities work together towards answering the big questions of the future. Around 7,700 of them do research and teaching, around 3,000 work in
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academic writing Didactic competences / experience with e-learning IT user skills: MS Office Desireable knowledge in coding and statistical analysis of big data Excellent command of written and spoken
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At the University of Vienna almost 11,000 personalities work together towards answering the big questions of the future. Around 7,700 of them do research and teaching, around 3,000 work in
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At the University of Vienna more than 10,000 personalities work together towards answering the big questions of the future. Around 7,500 of them do research and teaching, around 2,900 work in
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At the University of Vienna almost 11,000 personalities work together towards answering the big questions of the future. Around 7,700 of them do research and teaching, around 3,000 work in
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At the University of Vienna, over 10,000 people work together on the big questions of the future. Approximately 7,500 of them are academic staff members. These are individuals who, with
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building on existing large scale RNAseq datasets. Participation in paper writing and publication is expected. In addition, participation in teaching and examinations within the requirements of the collective