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and structures Basic experience in research methods (legal dogmatics) and academic writing, experience in interdisciplinary research is an asset. What we offer: Work-life balance: Our employees enjoy
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methods are developed and applied to investigate exposure, metabolism, and toxicity. The lab consists of a motivated and interdisciplinary team acting in a strong national and international network
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accordance with the collective agreement Student supervision Participation in evaluation measures and quality assurance Participation in departmental administration and program development Your profile
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scanning, geometric morphometrics, digital recording and analysis of behavioral observations, as well as the application of experimental, field-based and computer-assisted methods will be taught. In the area
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The Computational Drug Discovery and Design Group (COMP3D, https://comp3d.univie.ac.at/) at the Faculty of Life Sciences focuses on developing computer-based methods, particularly those involving machine learning and
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Sciences focuses on developing computer-based approaches, particularly chemoinformatics, molecular modeling and machine learning methods, to predict the biological, medical and toxicological properties
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Master's degree or Diploma (master’s degree by September 1st), in the field Art History Basic experience in academic writing and with research methods Didactic competences / experience with e-learning
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, which means: • Developing a third-party funded project to be submitted to a competitive programme (e.g. Marie Curie, FWF individual project, FWF Esprit) • Further developing your academic profile
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the complex drivers of landslide risk in rapidly urbanising tropical cities. The project will develop a hybrid modelling framework combining process-based and statistical methods to examine causal feedbacks
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and critical way of thinking and thus lay a solid foundation for future professional challenges. Your workplace: As a Senior Lecturer, you will be employed in the field of computer-aided and digital