114 programming-"the"-"DAAD"-"EURAXESS"-"IMPRS-ML"-"IMPRS-ML"-"O.P" positions at University of Vienna in Austria
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apply: Letter of Motivation (Academic) Curriculum vitae Final Degree certificates (Certificate of completed diploma or master's degree programme) List of publications (if available) evidence of teaching
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knowledge of programming (e.g., Python, R, or MATLAB) Experience of working in tropical cities Experience in systematic literature review is desired Interest and/or experience in urban landslide research
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Biocenter PhD Program • Profound knowledge in meiosis research, with a particular emphasis on metabolism • Methodological competencies in molecular biology and advanced microscopy • Practical
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Biocenter PhD Program • Basic experience in academic writing and profound knowledge in the integrated stress response (ISR) and unfolded protein response (UPR) signaling pathways, with a particular
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Experience abroad Willingness to acquire German language skills within 3 years that are sufficient for teaching in Bachelor's and Master's programs and for participation in university committees What we offer
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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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well as the late, medieval, and Neo-Latin language and literature. At the core of the program is a thorough education in Greek and Latin that enables critical evaluation of historical texts, along with
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Limited contract until: Job ID: 4344 The University of Vienna plans to expand the existing Research Data Management services by offering discipline-specific support through a new Data Stewardship program
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of the key methods of these fields (e.g. programming, statistical analysis, interviewing, ethnography). • Knowledge of OR interest in these areas: o Critical data studies o Interdisciplinary and mixed
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multivariate statistics and data clustering Experience in research management and leading project staff IT skills, including programming (preferably Python) for data analysis and visualization Didactic skills