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equipment 6 weeks holiday per year; company holidays between Christmas and New Year's Day very good compatibility private and professional life; offers of mobile and flexible work PhD Buddy Program family
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available in the further tabs (e.g. “Application requirements”). Programme Description The programme sets up paid and unpaid internships mostly in the fields of business administration and marketing, business
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Programme funded by the German Academic Exchange Service (DAAD). Successful applicants will receive a PhD scholarship from the DAAD of 1.300 €/month (including health and liability insurance, as
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network of passionate young scientists in Munich. WHAT DO WE OFFER? A structured PhD program created by Munich-based Max Planck Institutes and Universities with English as the main language Individual
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structured PhD program with a comprehensive range of continuing education and networking opportunities - more information about the PhD program at the HZDR can be found here Salary and social benefits in
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of the scientific themes of the RTG Collaborating with other project partners of the RTG Active participation in the structured training program of the RTG including ring lectures, research and PhD seminars
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Areas of study International Relations, Political Science, Gender Studies, Social Economics, East Asian Studies, Japanese Studies, Korean Studies, Chinese Studies, Asian Studies, International Law, Public Law, Economic Sciences, Economics, Business Administration, Cultural Studies, Early Modern...
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Neuroscience (Prof. Katharina von Kriegstein) offers, subject to the availability of resources, a position as Research Associate / PhD student (m/f/x) (subject to personal qualification employees are remunerated
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Description Thinking of doing your PhD in the Life Sciences? The International PhD Programme (IPP) Mainz is offering talented scientists the chance to work on cutting edge research projects
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– from the modeling of material behavior to the development of the material to the finished component. PhD Position in Machine Learning and Computer Simulation Reference code: 50145735_2 – 2025/WD 1