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(recognition of plants in the field, knowledge of morphology and anatomy) and are proficient in handling large data sets (a plus). Experience in teaching (e.g. tutorials) and also experience in administation
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circadian oscillator with a particular focus on the intersection of inhibitory (GABAergic) and excitatory neural circuits building on existing large scale RNAseq datasets. Participation in paper writing and
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DoCS fellow in the final phase of the doctoral studies. The successful applicant will get a contract as university assistant (prae doc) and will be working in the research group “Data Mining and Machine
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DoCS fellow in the final phase of the doctoral studies. The successful applicant will get a contract as university assistant (prae doc) and will be working in the research group “Data Mining and Machine
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track of things, and if you prefer to do so in meaningful projects, then welcome to the team! Because we are searching for personalities who want to use their expertise to help answering the big questions
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reputation Proven leadership qualities Gender and diversity competence Experience in designing and managing large research projects Enthusiasm for excellent teaching and supervision at the bachelor's, master's
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reputation Proven leadership qualities Gender and diversity competence Experience in designing and managing large research projects Enthusiasm for excellent teaching and supervision at the bachelor's, master's
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Gender and diversity competence Experience in designing and managing large research projects Enthusiasm for excellent teaching and supervision at the bachelor's, master's, and doctoral level Willingness
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exchange and foster a good atmosphere, and therefore play a big role in our team. Learn more about us here: https://swa.cs.univie.ac.at/ Your future tasks: You actively participate in research, teaching and
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competence Experience in designing and managing large research projects Enthusiasm for excellent teaching and supervision at the bachelor's, master's, and doctoral level Willingness to take on organisational