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Field
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Are you not yet sure about starting a PhD project? Are you having difficulties with your doctoral studies? The GRADE team supports you during your decision-making processes and helps with problems
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Master’s degree in physics, chemistry, materials science, chemical engineering, or a related field who are excited about applying machine learning and data science to real-world materials challenges
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, and implementing these in practice together with industry partners. In doing so, we not only want to build bridges between the real and virtual worlds, but also serve as a link between academic
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, artificial intelligence, and security, with a focus on tools and techniques for constructing reliable, efficient, and secure software. General areas of research include: Artificial intelligence to reason about
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excitation of specific bonds. It will revolutionize the field of biopolymer processing beyond cellulose and yield fundamental insights into su-pramolecular structure and dynamics in biomaterials. About us Our
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or Master's theses: 6 months doctoral theses: 2 years with an option to renew the sponsorship for 1 year at the most Scholarship Value Diplom or Master's theses: 250 to 600 EUR per month over a period of 6
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you bring to the table You are enthusiastic about technological challenges and would like to support us in industry-related research projects Ongoing studies, preferably in the natural sciences or in
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the DAAD. The costs will be deducted from the scholarship payment. Selection An independent selection committee reviews applications. The most important selection criteria are: Your academic achievements and
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actively support the compatibility of work and family life and attach great importance to an equal and inclusive culture of cooperation. General information about the IfADo can be found at www.ifado.de
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teaching assistants or teacher-training students of almost any academic discipline. An overview detailing the single programmes can be found here . Academic Requirements depending on the specific programme