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Faculty 08: Philosophy and History Faculty 09: Linguistics, Cultures, and Arts Faculty 10: Modern Languages Faculty 11: Geosciences and Geography Faculty 12: Computer Science and Mathematics Faculty 13
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German Cancer Research Center (DKFZ) Heidelberg • | Heidelberg, Baden W rttemberg | Germany | 2 days ago
interdisciplinary, which is reflected by the fact that PhD students have an academic background in (molecular) biology, (bio-)chemistry, (bio-)physics, mathematics, computational biology, computer
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, active engagement with partners and stakeholders and inclusion of student-led activities. You will be part of an annual cohort and will receive training at different universities and industrial partners
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involved in research from the start. Our university is currently home to some 11,000 students enrolled in around 120 different degree programmes in the fields of mathematics and natural sciences, humanities
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constructed to support the researcher as the PhD progresses with specific courses aimed at the different phases of a PhD. For example, the programme includes aspects such as research methods, technical report
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Max Planck Institute for Human Cognitive and Brain Sciences • | Leipzig, Sachsen | Germany | 2 days ago
that no additional curricular work at the university needs to be carried out by students of IMPRS CoNI. This avoids unnecessary bureaucracy and ensures efficiency. To tackle individual differences, a central element
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Degree Doctor of Philosophy (PhD), Division of Mathematics and Natural Sciences or Doctor rerum naturalium (Dr rer nat) Course location Göttingen In cooperation with Max Planck Institute for Solar
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from different regions of the world, both from a humanities-centred as well as a scientific perspective. Diverse intercultural background of students Due to the multitude of regions involved in our
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science has to offer. Particular emphasis is placed on common responsibility of the Faculty of Mathematics and Computer Science at Saarland University for all doctoral students. The structure of our programme
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Mathematical and computational methods to design and analyse biological systems Engineering biology to address current challenges in sustainability Creating new technology for the interrogation of cells