Doctoral studies

country
city
subject area
language
university status
Found: 12304
de de
Konstanz, Germany
subject area: mathematics and statistics
de de
Bayreuth, Germany
subject area: mathematics and statistics
de de
Kassel, Germany
subject area: mathematics and statistics
de de
Osnabrück, Germany
subject area: mathematics and statistics
de de
Paderborn, Germany
subject area: mathematics and statistics
de de
Rostock, Germany
subject area: mathematics and statistics
de de
Magdeburg, Germany
subject area: mathematics and statistics
de de
Augsburg, Germany
subject area: mathematics and statistics
de de
Wuppertal, Germany
subject area: mathematics and statistics
de de
Ilmenau, Germany
subject area: mathematics and statistics
de de
Siegen, Germany
subject area: mathematics and statistics
de de
Braunschweig, Germany
subject area: mathematics and statistics
de de
Passau, Germany
subject area: mathematics and statistics
de de
Greifswald, Germany
subject area: mathematics and statistics
de de
Clausthal-Zellerfeld, Germany
subject area: mathematics and statistics
de de
Dortmund, Germany
subject area: mathematics and statistics
de de
Freiberg, Germany
subject area: mathematics and statistics
de de
Lüneburg, Germany
subject area: mathematics and statistics
de de
Cottbus, Germany
subject area: mathematics and statistics
de de
Weingarten, Germany
subject area: mathematics and statistics
de de
Vechta, Germany
subject area: mathematics and statistics
pt pt
Porto, Portugal
subject area: mathematics and statistics
pt pt
Lisbon, Portugal
subject area: mathematics and statistics
cs cs
Plzeň, Czech Republic
subject area: mathematics and statistics
en en
Plzeň, Czech Republic
subject area: mathematics and statistics
cs cs
Ostrava, Czech Republic
subject area: mathematics and statistics
en en
Ostrava, Czech Republic
subject area: mathematics and statistics
cs cs
Opava, Czech Republic
subject area: mathematics and statistics
pt pt
Ponta Delgada, Portugal
subject area: mathematics and statistics
en en
Zürich, Switzerland
subject area: mathematics and statistics
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Experimental work, data analysis and numerical modelling have provided a sound quantitative assessment of climatic change on inland seas and their regions, particularly vulnerable to climatic and anthropogenic impacts.
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