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-oriented integration of these will be improved and promoted using up-to-date methods and technology. This important integrative approach at the system level is embedded in the graduate school GAUSS and in
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organisation The thesis projects are developed and supervised by two professors. Methods courses give opportunities to learn and perform new techniques. This programme cooperates with the Ruhr-Universität
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University of Education Freiburg • | Freiburg im Breisgau, Baden W rttemberg | Germany | about 24 hours ago
of the programme are to promote research on learning and teaching foreign languages in these regions and to qualify academic staff to gain proficiency in the fields of scientific methods and methodology in foreign
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disciplinary specialisation This module is designed to deepen disciplinary knowledge. Apart from attendance at the colloquium in the department to which the doctoral researcher is admitted, we offer a methods
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to build a successful career, whether in academia or beyond. Course organisation First and second semesters: theory and methods seminar, study group, colloquium, summer school Third to sixth semester: study
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wide-ranging method portfolio and the strengthening of their key qualifications as well as excellent chances of success in competition with other candidates, whether in universities, independent research
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committees advising the doctoral student and monitoring the progress of the doctoral project Scientific methods courses, seminars and summer schools in all science areas covered by the graduate school
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for one to two PhD students in analytical chemistry to develop analytical methods for single cell analysis and mass spectrometry imaging using direct infusion mass spectrometry. The PhD candidate will work
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interests, students can select and tailor their own study plan. The main curriculum consists of interdisciplinary skills, theory, and method seminars, which are supplemented by open topics. The main
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annotations are scarce or unreliable. Recently developed unsupervised learning methods allow to circumvent this limitation by learning patterns in unlabelled medical images and then leveraging them