520 data-"https:"-"https:"-"https:"-"https:"-"Tampere-University" positions in Denmark
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. You can read more about career paths at DTU here . Further information Further information may be obtained from Associate Professor Matteo Fumagalli, mafum@dtu.dk . You can read more about the
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employees, of which approximately 50% are scientific staff. More information can be found here . We believe in encouraging inclusion, acceptance, and understanding by employing staff who bring unique
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quality. Your main tasks will consist of: Conducting independent research of high international quality, including publication in leading journals Performing advanced spatial data analysis, including
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we expect: Qualifications The candidate must have a PhD degree at the time of employment. We value candidates who combine strong experimental skills with an ability to integrate data-driven approaches
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disturbances or cyberattacks, such as sensor manipulation, electromagnetic interference, or injected faults, can affect the behaviour of power electronic systems. Developing data-driven models that capture how
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of student projects and participation in courses related to human-computer interaction and software engineering. Your competencies Applicants should have a strong interest in human-robot interaction and the
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, advice in finding temporary accommodation, as well as offering advice on how best to move to Denmark, with a family if relevant. Terms of Employment, Salary, and Contact Information Salary (before tax
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mutual agreement, preferably as soon as possible and ends December 31st 2027. You can read more about career paths at DTU here . Further information Further information may be obtained from Associate Prof
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starting date on 1 August 2026 or according to mutual agreement. You can read more about career paths at DTU here . Further information Further information may be obtained from Researcher Nefeli E. Novak
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will be part of a team of researchers responsible for the annual productivity studies by Aalborg University Business School. These studies provide data driven insights into regional productivity