158 parallel-computing-numerical-methods positions at University of Vienna in Austria
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with programming (e.g. Python, Julia) and molecular simulation methods (e.g. molecular and quantum dynamics). What we offer: In the Maurer group, we aim to develop computational simulation methodology
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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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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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should qualify him/her for a doctorate as part of the international PhD program in Management. The program provides knowledge that enables you to apply analytical methods to business management issues
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administration, 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
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by the teams are in particular related to theoretical analysis of classical problems in numerical analysis in the framework of modern algorithms of machine learning. Our ideal candidate will have prior
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personal sphere of influence: The Ries lab is developing super-resolution microscopy methods for structural cell biology and is looking for a PhD student to join the team. About the Max Perutz Labs
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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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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
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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