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software are an advantage. Excellent command of written and spoken English (C1 Level or equivalent). Ability to work independently and as part of a team. Good communication skills and ability to present
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the international PhD program in Management. The program provides knowledge that enables you to apply analytical methods to business management issues. The programme is organized at the Faculty of Business, Economics
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willingness to supervise BA and MA dissertations and PhD theses, to organize excursions, to acquire third-party funding projects, to promote young academics and to participate in research networks is required
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Archaeology and to include topics of Provincial Roman Archaeology. Furthermore, the applicant is expected to be willing to supervise BA, MA and PhD dissertations, lead teaching excavations, acquire third-party
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Master programs in (International) Business Administration, the Master of Banking and Finance, and the PhD program in Finance, especially within the framework of the Vienna Graduate School of Finance (VGSF
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administrative tasks related to the project Selection criteria: Required qualifications (essential criteria): Completed doctoral/PhD studies by the start date A research specialization in a subject relevant to the
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fluorescence imaging methods at our department. You will be responsible for the instruments and will be in regular contact with the manufacturers, organize repairs, upgrades, new acquisitions and take advantage
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or a related field before the contract starts (e.g., statistics or Computer Science). Experience in scientific writing and research methods (copy of the Master's thesis, as well as list of publications
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or a related field before the contract starts (e.g., statistics or Computer Science). Experience in scientific writing and research methods (copy of the Master's thesis, as well as list of publications
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doctoral degree in a related field is desirable. This is part of your personality: Completed a master's or diploma degree in education Knowledge of quantitative and qualitative research methods Knowledge