72 programming-"the"-"DAAD"-"EURAXESS"-"Prof"-"UCL"-"IDAEA-CSIC" positions at UNIVERSITY OF VIENNA
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evaluation strategies for large amounts of data (such as programming languages Python and/or R) are required to fulfill the tasks. The employment level of 40 hours/week includes an average teaching obligation
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. 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 such as
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the research and teaching programme of the Institute for Canon Law and Religious Law as well as take on administrative tasks. This includes: You will contribute to research projects and studies in the field
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sphere of influence: The Doctoral School Computer Science DoCS (https://docs.univie.ac.at ) founded in 2020 offers a structured doctoral programme that supports early-career research in the areas
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, and building up an independent research profile you publish internationally and present papers in conferences and workshops give you independently teach courses in the BA program (proseminars), one
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in e-learning IT skills, esp. an object-oriented programming language such as C#, Python, or Java Knowledge in: logistics or/and supply chain management or/and transport planning is required Excellent
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computing, computer architecture, programming models and high performance computing. These are your qualifications: Must-haves: Completed doctoral/PhD studies in Computer Science or a closely related field
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. publish internationally and give lectures. apply for projects and raise third-party funds. teach courses in the master's programme "Philosophy and Economics" (within the scope of the provisions
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Master’s degree or Diploma in Law or a related subject that allows registration in a Law Faculty doctoral programme at the University of Vienna, for example in the doctoral programme Interdisciplinary Legal
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applications. In teaching, the applicant will be involved, inter alia, in the education of fundamentals in mathematics in all study programs of the faculty, esp. in the Master program Business Analytics. The