Doctoral studies

country
city
subject area
language
university status
Found: 341
de de
Paderborn, Germany
subject area: mathematics and statistics
en en
Fribourg, Switzerland
subject area: mathematics and statistics
de de
Munich (München), Germany
subject area: mathematics and statistics
de de
Cottbus, Germany
subject area: mathematics and statistics
en en
London, United Kingdom
subject area: mathematics and statistics
de de
Bochum, Germany
subject area: mathematics and statistics
de de
Rostock, Germany
subject area: mathematics and statistics
en en
Reading, United Kingdom
subject area: mathematics and statistics
pl pl
Warsaw, Poland
subject area: mathematics and statistics
de de
Giessen, Germany
subject area: mathematics and statistics
de de
Berlin, Germany
subject area: mathematics and statistics
de de
Kassel, Germany
subject area: mathematics and statistics
en en
Bern, Switzerland
subject area: mathematics and statistics
pl pl
Szczecin, Poland
subject area: mathematics and statistics
de de
Göttingen, Germany
subject area: mathematics and statistics
de de
Karlsruhe, Germany
subject area: mathematics and statistics
en en
Aberystwyth, United Kingdom
subject area: mathematics and statistics
en en
Portsmouth, United Kingdom
subject area: mathematics and statistics
en en
London, United Kingdom
subject area: mathematics and statistics
de de
Cologne (Köln), Germany
subject area: mathematics and statistics
en en
Belfast, United Kingdom
subject area: mathematics and statistics
en en
Maynooth, Ireland
subject area: mathematics and statistics
pt pt
Lisbon, Portugal
subject area: mathematics and statistics
pl pl
Rzeszów, Poland
subject area: mathematics and statistics
en en
York, United Kingdom
subject area: mathematics and statistics
de de
Bayreuth, Germany
subject area: mathematics and statistics
de de
Passau, Germany
subject area: mathematics and statistics
it it
Rome, Italy
subject area: mathematics and statistics
de de
Bielefeld, Germany
subject area: mathematics and statistics
de de
Kiel, Germany
subject area: mathematics and statistics
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Atmospheric remote sensing is vitally important to addressing major societal challenges related to climate change and atmospheric pollution. An EU-funded project is reducing the uncertainty in critical atmospheric parameters and training a new generation of scientists in new observation techniques.
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