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may be taken into consideration. A suitable candidate will have a PhD in computer science, statistics, sociology, economics, political science or a corresponding subject of relevance to computational
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must have taken relevant higher education pedagogical courses. Requirements: Doctorate in computer science, mathematics, or similar. Strong command of both written and spoken English language
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participating in projects that collect and utilize agronomic data from forages and crop rotations, and (3) writing scientific publications and grant applications. Qualifications: Required: A PhD degree in a
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required to have a PhD degree or a foreign degree that is deemed equivalent in Computer Science, or another subject of relevance for the project. Documented knowledge and proven research experiences in
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service, or similar circumstances, as well as clinical practice or other forms of appointment/assignment relevant to the subject area. The successful candidate should have a PhD in terrestrial ecology
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pages). A curriculum vitae that documents academic education and past and previous employments. A list with your publications. A copy of the PhD certificate and other relevant degree certificates. Names
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list with your publications. A copy of the PhD certificate and other relevant degree certificates. Names and contact details with e-mail addresses of two or three academic references. Other relevant
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research environment is characterized by a modern and advanced methodology and has a strong international profile. The institute has 30 research groups with a research staff of 200, of which 60 are PhD
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(including shifts during the night). Eligibility and Qualification requirements To be eligible for the posistion the candidate must have a doctoral degree (PhD) no older than 8 years, as required by
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through publications in high-impact journals and presentations at international conferences. Qualifications A PhD in Physics, Chemistry, Mechanical Engineering, Energy Sciences, or a related field, obtained