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hosts doctoral researchers from various backgrounds, such as geoinformatics, computer science, geography, ecology, mathematics, and information systems. Language requirements Applicants must provide proof
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physics, chemistry, life sciences, or a related discipline Language requirements Applicants whose native language is not English are asked to submit proof of proficiency in English. If no English test is
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provide proof of their English skills, e.g.: Cambridge Certificate in Advanced English, at least grade "B" Cambridge Certificate of Proficiency in English, at least grade "C" IELTS Academic (International
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regulations and details about the application procedure: http://www.uni-goettingen.de/en/430860.html Language requirements Applicants must provide proof of their English skills, e.g.: Cambridge Certificate in
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are processed through the online application portal: https://uni-goettingen.de/en/532016.html Language requirements Good proficiency in English and/or German is required. Applicants must provide proof
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English is a prerequisite, ideally a corresponding certificate as proof of your English skills should be provided if you did not obtain your university degree in an study programme taught in English: https
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research stays Academic admission requirements Master's degree relevant to the discipline or equivalent degree Language requirements Proof of proficiency in German or English is required. (This requirement
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information form For this position, you must fill in a mandatory form which will allow us to have a comprehensive view of your qualifications and better assess your fit for it. Your prompt response will ensure
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the Computer Science study program. The stipend is open for appointment from August 1st 2025 or soon thereafter. The PhD students will be working on topics within the general areas of formal methods, model checking and
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control, open-source background checks may be conducted on qualified candidates for the position. The Research Group for Genomic Epidemiology conducts targeted research with the aim of predicting and