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good results - Interest on topics around the area of distributed systems and data management - Basic knowledge in distributed systems and graph algorithms is desired - Hand-on experience with large-scale
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(especially LLMs / VLMs) Human-AI Interaction Or Bring-your-Own research topic Who We Are Looking For: We seek highly motivated and talented individuals passionate about AI, Human-Computer Interaction, Eye
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should include the development of data sets and methodology to track topics such access to services, use of allied health and other supports, financial hardship, hospital admissions and transition
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PhD/Postdoc position in trustworthy data-driven control and networked AI for rehabilitation robotics
for sustainability, new concepts for security and solutions for current latencies in communication networks. Find out more about the project under https://6g-life.de/ About us: At the Chair of Information-Oriented
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other personal merits Obtaining admission into US universities on time Additional specific conditions depend on the type of Fulbright scholarship. More information and FAQ can be found on the Fulbright
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details on the participating institutions, information on the sponsorship programme and the relevant contacts here . Application Deadline Application deadlines differ and may be requested at the individual
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funded by the European Union and the German Federal Ministry of Education and Research. For information about eligibility and selection criteria and application open and closing dates, see: Postdoctoral
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programs in the United States. Fulbright Canada offers various scholarship awards within this program, with further information on the various award opportunities made available through the Canada-US
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Grants Deadline Month: March, October Description: The Museum of Comparative Zoology (MCZ) at Harvard University periodically awards travel grants that support collection of specimens and data relating
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | 18 days ago
the structure from such data is challenging, and new theoretical methods and algorithms are required. The research project aims at deriving priors for Bayesian methods from atomistic simulations and machine