136 algorithm-development-"Prof"-"Washington-University-in-St"-"Prof" positions at DAAD in Germany
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of the association. They will also experience German culture first-hand through the cultural events and social meetings. In addition, the scholarship holders take part in the programme's accompanying and developing
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to sustainable development. To this end, scholarships are granted for development-related Master studies for individuals who plan to pursue a career in teaching and/or research at a higher education institution in
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Europe, offering enhanced opportunities for networking, interdisciplinary collaboration, and career development both within and beyond academia. High standards in the selection and hosting of doctoral
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) with the capacity to contribute to sustainable development. To this end, scholarships are granted for development-related Master studies for individuals who plan to pursue a career in teaching and/or
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available in the further tabs (e.g. “Application requirements”). Programme Description The SBW Berlin scholarship programme supports social commitment through the development of social projects during
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an adviser in the Studienstiftung’s office and a personal tutor at their home university, who follow their academic and personal development and offer guidance on issues relating to their scholarship and
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contribute in a positive way to the development of Myanmar society. Motivation, non-academic criteria such as previous professional experience and skills, civic and social engagement, etc. will be considered
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Infrastructure Market stimulation (i.e. further development of the market for hydrogen) cross-cutting issues (i.e. regulation, socio-economic and legal framework) PostDocs working at a university or a non
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research expertise while also developing their clinical skills. Receive exceptional training for a successful career in research, clinic, and academia! Structured curriculum: Core Courses | Lecture Series
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: Develop innovative machine learning architectures for the mining, prediction, and design of enzymes. Combine state-of-the-art ML (e.g., deep learning, generative models) with computational biochemistry