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Field
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the equilibrium of a cell, an organ, or the entire body, we can prevent diseases, diagnose them earlier, and stop their progression with tailored therapies. To enable timely application of research findings
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during your doctoral studies. Structured Doctoral Education We provide a comprehensive qualification programme to all doctoral candidates of Goethe University and support you individually to organise your
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15.10.2025 including: Motivation letter (1 Page) CV Relevant certificates Reference letter (welcome) Applications of women are specifically invited. In the case of similar qualifications, competence, and
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Specialist counselling Visa matters Help with finding accommodation Support with registration procedures General services and support for international students and doctoral candidates We welcome applications
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or congress contributions. Academic transcripts and degree certificates Contact details of two professional referees (e.g., previous supervisors or mentors). The application deadline is September 24th, 2025. We
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Day) Opportunity to develop your strengths, e.g. through a comprehensive training programme; a structured programme including continuing professional development and networking opportunities
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Dortmund, we invite applications for a PhD Candidate (m/f/d): Analysis of Microscopic BIOMedical Images (AMBIOM) You will be responsible for Developing new machine learning algorithms for microscopy image
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. The investigations and developments range in size from atoms to the MW range for application in the grid. The goal of this doctoral thesis is to apply various procedures such as electrochemical wet treatment, covalent
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, chemistry, material science, chemical engineering or related disciplines Experience in the field of energy storage Knowledge of X-ray methods Experience with programming languages (ideally Python) Fluent in
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, chemistry, material science, chemical engineering, or related disciplines Knowledge of X-ray methods Experience in the field of energy storage Experience with programming languages (ideally Python) Fluent in