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this procedure. Applicants must be enrolled at a university throughout the internship period. Language skills German language requirements vary significantly; some employers expect interns to have a good knowledge
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, participate in scientific and professional skills courses, attend international conferences and receive career development support. The PhD programme’s teaching language is English. Full funding is provided
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environmental protection or nature conservation issues and whose work contributes to developing solutions for these challenges. Topics with international relevance are welcome, but the work must be carried out
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well as share research knowledge via teaching. Qualifications The candidate will hold a Master’s in Chemical, Process, Environmental Engineering, or equivalent, and is a naturally curious person who is eager
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Agricultural & Resource Economics / Applied Economics The initial appointment will be 2 years with the possibility of extension. Salary is in accordance with the German State Regulated Public Salary Scale
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. The candidate will collaborate in an international research team on related topics in probabilistic modeling, uncertainty quantification, and high-performance computing, with applications in the natural and
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of multi-fidelity and active learning strategies for molecular systems. The candidate will collaborate in an international research team on related research questions in machine learning, uncertainty
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summer schools. Communication and teaching language throughout HBRS is English. Upon graduation, students receive a PhD – life and natural scientists may alternatively choose a Dr.rer.nat. degree. Our
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covered by the DAAD: International and national transport to arrive to and depart from programme locations (lowest possible economy class airfare and 2nd class train tickets) Local public transport
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programs, the university unites the natural and engineering sciences with the humanities, social sciences and medicine. This wide range of disciplines is a special feature, facilitating interdisciplinarity