28 application-programming-android Postdoctoral positions at UNIVERSITY OF VIENNA in United Kingdom
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consists of a motivated and interdisciplinary team acting in a strong national and international network. This position in the field of bioanalytical chemistry is dedicated to the development and application
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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 through
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to the study and teaching of the language and literature of ancient Greece and Rome, including Late Antiquity, as well as the late, medieval, and Neo-Latin language and literature. At the core of the program is
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of Romance Studies offers Bachelor’s, Master’s and PhD degree programs in five Romance languages and teacher-training courses for secondary schools in three languages (French, Italian and Spanish
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the independent drafting of funding applications, as well as the assumption of tasks in the departmental and faculty administration. The candidate is expected to be willing to work towards a cumulative habilitation
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activities (if applicable), Bachelor and Master degree certificates, your certificate of a completed PhD programme (required before the start of the contract) and contact details of 2 persons for reference
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of rare diseases through systems-level approaches and high-dimensional biomedical data integration. About the Max Perutz Labs The successful applicant will work in a stimulating scientific environment
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Leadership abilities to supervise students and PhD students Teaching experience Very good German and English language skills. Very good mathematical understanding Very good programming skills Strong ability
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peer-relevant media Experience in research management and leading project staff Didactic skills / experience in e-learning Skills in experimental work with babies Programming skills (Matlab) Advanced
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-electron Schrödinger equation for fermions and bosons with high accuracy and on the application of these methods to problems in the physics of oxides, semiconductors and their surfaces. Machine learning