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? The doctoral degree should have been completed no longer than two years before the time of application. Doctoral students finishing their PhD studies by the beginning of the scholarship are also eligible
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Germany | 18 days ago
with computational models and actively contribute to experimental design. Contribute to publications in high-impact journals and present findings at international conferences. Your profile PhD (degree
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research network on the topics of the project Your profile: PhD in Sociology or a related discipline, completed or nearing completion Strong research interest in the field of economic inequality Interest in
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for 3D bioprinting. Active participation in the research activities of the research groups. Provide expert feedback and mentoring to MSc and PhD students. Present your research findings both internally and
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qualification and skills: PhD university degree in microbiology, ecology, or a related discipline Strong experimental background in microbiology and molecular biology Solid understanding of microbial ecology
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) in mathematics and doctoral degree (PhD) in mathematics (or teaching mathematics in higher education) Proven experience in independently teaching university-level mathematics courses (e.g. demonstrated
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Your Profile - Expected Completed PhD in Materials Science, Polymer Science, Chemical Engineering, Mechanical Engineering (materials focus), or related field Demonstrated laboratory experience in polymer
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of findings for the National Report on Education Supporting the supervision of qualification theses and commitment in applying for third-party funding Your profile Above-average PhD in a relevant discipline (e.g
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-doctoral researchers, as well as members of an international research network on the topics of the project Your profile: PhD in Sociology or a related discipline, completed or nearing completion Strong
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, Physics or a closely related field. Completed PhD in one of the above or a closely related field. Strong background in Machine Learning and Artificial Intelligence, including interest in alternative