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use a variety of molecular and cell biological methods together with bioinformatic approaches to evaluate the zoonotic potential of newly discovered henipa-like viruses in shrews. As a PhD student, you
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working style A good command of English A PhD degree with research experience in a computational field and practical experience in scientific computing is highly desirable. However, we will also consider
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the doctoral researcher will include: Conducting research on tundra plants and microclimates Completing an article-based PhD thesis Qualifications of the doctoral researcher The position requires a master’s
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working style A good command of English A PhD degree with research experience in a computational field and practical experience in scientific computing is highly desirable. However, we will also consider
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. Applicants must have a doctoral degree in geography, geoinformatics, computer science, data science, or a related field. Advanced PhD candidates are also encouraged to apply, however the appointee must have a
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the University’s salary system for teaching and research personnel. The starting salary is approximately 2500 euros/month and will increase as the PhD work progresses, based on the appointee’s qualifications and
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. Applicants must have a doctoral degree in geography, geoinformatics, computer science, data science, or a related field. Advanced PhD candidates are also encouraged to apply, however the appointee must have a
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offered a fully funded contract of up to 3 years. About the position The postdoctoral research position will require developing and applying cutting-edge machine learning methods to computer vision and
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doctoral researcher is expected to: Advance the BIOBANG project’s objectives as part of a dynamic interdisciplinary team. Conduct doctoral studies and research leading to a completed PhD thesis within 4
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, linguistic and cultural backgrounds, and minority groups. Why work for us? The BIOBANG project is a groundbreaking research initiative that investigates biodiversity loss by using an interdisciplinary approach