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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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Administrative tasks Your profile: Master's degree in mathematics, physics, chemistry or a similar qualification good programming skills good knowledge of English Ability to work independently and high motivation
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copy of the certificate of your completed master program Proof of language skills … through our job portal/ Apply now - button If you have any questions, please contact: Professor Dr Markus Ritter
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to the department Ph.D. program and will work on the development and analysis of statistical methods for machine learning, particularly in the context of high-dimensional models and with a particular focus on methods
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preference. Excellent oral and written English language skills are required. The working language of the lab is English. An autonomous work style and genuine curiosity are both required and supported. All
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level and in teacher training. The successful applicant will be expected to teach courses in teacher training programs, particularly in the field of mathematics education (language of instruction: German
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of lectures/courses as part of a team is required. An excellent command of both German and English is required, knowledge of other foreign languages is an advantage. The employment duration is 4 years
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constantly being ranked among the top of all universities in the German-speaking world, and belonging to the finest in their field internationally - emblematic of the continuous aspiration to add valuable
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teacher training programs, particularly in the field of mathematics education (language of instruction: German). In addition, the position involves the establishment of an independent research agenda and
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of the certificate of your completed doctoral and master program proof of language skills Via our job portal/ Apply now - button If you have any questions, please contact: Markus Ritter markus.ritter@univie.ac.at We