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research using patient-derived samples. If you thrive in a well-equipped lab, enjoy learning new techniques, and want your work to contribute directly to cancer research, this position is for you. Your
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-equipped lab, enjoy learning new techniques, and want your work to contribute directly to cancer research, this position is for you. Your responsibilities Perform and maintain cell culture work (including
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, in teacher education (bachelor program and master program), in a faculties-arching master program in "Environmental Sciences", and on doctoral level. Details on the Department can be access on http
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Gender and diversity competence Experience in designing of and participating in research projects, ability to lead research groups and acquire third-party funding Enthusiasm for excellent teaching and
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, international reputation Gender and diversity competence Experience in designing of and participating in research projects, ability to lead research groups and acquire third-party funding Enthusiasm for excellent
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Universitätsassistent:in (PreDoc) im Bereich Entwerfen im Bestand und Denkmalpflege (Prof. Castorph)
spoken German and English to effectively teach courses in both languages. Initial practical experience in the planning and execution of building projects We Offer Interesting area of responsibility
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of hours required for the position. Your future tasks Contribute to research, teaching, and administrative activities within the team Teach independently in Social Psychology and Consumer Psychology
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archiving of university online resources Practical experience in applying machine-learning-driven methods to historical sources Proven experience in successfully securing, implementing and leading competitive
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of metabolism, membrane transport, cellular regulation, structural systems biology, machine learning and disease mechanisms. These positions are embedded in the transition from CeMM in Vienna to the newly founded
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at national and continental scale. Candidates with strong literacy in spatial multi-criteria optimization methods, reinforcement learning, or other state-of-the-art spatial planning approaches are of particular