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University of Vienna, the Perutz facilitates cooperation with a wide range of faculties in the medical sciences and clinic, as well as physics, mathematics and computational sciences, broadening the scope
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% of their graduating classes) have a strong quantitative background have an interest in acquiring methodological skills in areas such as formal (mathematical) modelling and/or (quantitative) empirical testing
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Mathematics or equivalent qualification with a strong focus on Computer Science with excellent marks. PhD with focus on data mining Strong publication record Leadership abilities to supervise students and PhD
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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 administration and organisation. We are looking for a/an Senior Scientist 59 Centre for Sport Science...
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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 administration and organisation. We are looking for a/an Prae doc assistant 45 Faculty of Philological...
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) Mathematics, or a related discipline (Statistics, Econometrics) Knowledge in analytical research methods, such as game theory, information economics, or microeconomics Excellent command of written and spoken
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(or equivalent qualification) in neuroengineering, computer science, mathematics, electrical engineering or a related field Strong analytic skills and experience in signal processing and machine learning Excellent
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and procedures for 3D inspection and measurement systems. You will research on innovative computer vision methods and tools using advanced mathematical methods, optimization methods and AI methods and
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degree in astronomy/astrophysics with affinity for programming, or in computer science/applied mathematics with affinity for astronomy/astrophysics • Main-author publications in renowned subject-relevant
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qualifications as an Ingenious Partner: Completed university degree, preferably in computer science, electrical engineering, computer engineering, mathematics, physics or similar (minimum BSc. degree) Good