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. The fellowship funding period is up to three years. Qualification • Open to all nationalities. • Soon-to-be PhD graduates or have graduated within four years from their respective PhD programs at the time of
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machine learning conferences/journals Job Requirements: PhD in Mathematics and/or Electronics and/or Computer Science Ability to work independently and as part of a team with strong initiatives Good
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of results at international conferences. Writing and publishing in scientific journals. Qualifications PhD in agriculture, climate science, physical geography, ecology or a related field (preferably less than
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scientific exchange with collaboration partners of the project Preparing reports, scientific papers, and presentations Job Requirements: PhD in mathematics, physics, computer science, or a closely related
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with the project PI Requirements PhD or Master degree in a related field with a focus on coastal engineering, oceanography, or hydrodynamics. Proficiency in wave modeling software, particularly Delft3D and SWAN
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Requirements: PhD in a relevant area (e.g. epidemiology, health science informatics). Candidates who have successfully defended their thesis or dissertation are welcome, subject to evaluation on a case-by-case
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other tasks required by the principal investigator. Job Requirements • A PhD within the fields of computer science, learning analytics, engineering, statistics, mathematics, construction management
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, and security of genomic and clinical data. Adhere to ethical, regulatory, and institutional guidelines for genetic data analysis Key Competencies and Requirements: PhD in Computational Biology
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effectiveness with a detailed report. To assist the PI to manage the project and coach undergraduate and postgraduate students in FYPs, DIPs and MSc dissertation projects. Job Requirement: PhD degree in
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. Additionally, direct interaction with suppliers is part of the job as well as preparing manuscripts and presenting work at conferences. Qualifications • Possess a PhD in Electrical Engineering • Experience