16 development-"https:"-"https:"-"https:" "https:" "DIFFER" Fellowship positions in Germany
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(m/f/d) in Bioinformatics. Project overview This position offers an exciting opportunity to develop machine learning methods that reveal how biological function is encoded across different kinds
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combines academic collaboration, international encounters and focused research. The Fellowship Programme is open to researchers from various disciplines and at different stages of their careers. Applicants
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international community at the MPIWG in order to prepare and publish their first single-authored research paper in English. First Research Article Fellows will be hosted in one of the following departments
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in Japan. The same freedom is given to Japanese Canon Fellows coming to Europe. The financial support for Research Fellows may amount up to 30,000 EUR per year and pro-rata for different periods
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Service' (DAAD). DLR is Germany’s national research centre for aeronautics and space. Its extensive research and development work in Aeronautics, Space, Energy and Transport is integrated into national and
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, theatre, exhibition practices, historiography, and other forms of scholarship or knowledge production. These practices aim to develop possibilities and scenarios for the future that reach beyond interests
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, or July. Exceptions are possible after consultation. Target Group CAIS College funds innovative projects that deal with the social opportunities and challenges of digital transformation, and develop
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researchers to advance scientific knowledge while contributing to the development of AI-driven solutions with real-world impact. The research stay can be carried out at any of the following universities or re
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to cutting-edge research on collaborative learning, multimodal learning analytics, and artificial intelligence. The position offers substantial opportunities to develop an independent research agenda within
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applicant will hold a Ph.D. in computer science, machine learning, bioinformatics, or related fields. The applicant should have a strong interest and prior experience in developing machine learning methods