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the selection process, consideration will be given to the applicant’s research plan, previous academic performance, international orientation, research merits, the duration and progress of any previous funding
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. Further information on the recruitment process may be obtained from HR Specialist Harri Hamara, harri.hamara(at)helsinki.fi . In case you need support with the recruitment system, please contact recruitment
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spoken and written English, as an asset, ability to coordinate projects involving experts from materials physics, device design, manufacturing processes and characterization, for senior scientist positions
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performing statistical analysis, developing statistical approaches, performing Monte Carlo simulations, processing field and remote sensing data, writing scientific articles in national and international
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internationally through an open, transparent, and merit-based recruitment process based on external anonymous peer review. Successful applications will be selected based on academic excellence. For more information
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to the STRAIND project’s topics are considered an advantage. Knowledge of Finnish is considered an advantage but is not mandatory. Read more about the selection process and language policies: Application
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invited to an on-site or remote interview. All applicants will be notified during the selection process. We welcome applicants from different backgrounds, such as people of different ages, different genders
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in software engineering, machine learning, artificial intelligence, and human-computer interaction, the Unit provides a strong foundation and supportive environment for doctoral studies. In
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sensing. This requires performing statistical analysis, developing statistical approaches, performing Monte Carlo simulations, processing field and remote sensing data, writing scientific articles in
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researchers are recruited internationally through an open, transparent, and merit-based recruitment process based on external anonymous peer review. Successful applications will be selected based on academic