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and as part of a team Understanding of dynamical systems, time series models, machine learning, Bayesian statistics, experience in handling environmental and climate data is a merit We offer: This
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Degree Doctoral degree (Dr rer nat) Course location Konstanz Teaching language English Languages All our courses are held in English. Programme duration 6 semesters Beginning Winter and summer
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instruction is English. All courses, lectures, and workshops are held in English. Participants are required to write and defend their doctoral thesis in English. Programme duration 8 semesters Beginning Winter
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; the literary marketplace; transferable skills Curriculum: lecture series and workshops, colloquia, research groups, and mandatory electives such as internships, academic teaching, etc. Supervision: Each doctoral
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of doctoral projects at the leading edge of the field. Lecture series will be supplemented by a broad spectrum of scientific and transferable skills courses and also emphasises teaching Open Science and good
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for Metabolism Research Teaching language English Languages The programme is completely conducted in English. Programme duration 8 semesters Beginning Winter semester Application deadline The CGA offers a PhD
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the Deutsches Geodätisches Forschungsinstitut (https://www.dgfi.tum.de/en/). The aim of the project is to combine a low resolution, thirty year time series of sea surface height (SSH) from satellite altimetry
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Degree PhD Course location Kaiserslautern Teaching language English Languages Discussions are held in English (100%). Programme duration 8 semesters Beginning Only for doctoral programmes: any time
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according to salary group E 13 TV-L) starting at the earliest possible date. The position is initially limited until June 30, 2028 and entails 75% of the full-time weekly hours with the option of extension
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qualification employees are remunerated according to salary group E 13 TV-L) starting at the earliest possible date. The position is initially limited until June 30, 2028 and entails 75% of the full-time weekly