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Field
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Classification Title: RES AST SCTST Classification Minimum Requirements: PhD in Computer Science, Computer Engineering, Data Science, Artificial Intelligence, Machine Learning or a closely related
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Additional information on beginning, duration and mode of study The starting date of the PhD project is flexible. The initial funding period is usually three years. Find out more at https://www.bgc-jena.mpg.de
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field of electronic circuits and systems. Job requirements Essential Requirements: MSc degree in Electrical / Electronic / Computer Engineering, or a closely related field. Solid background in digital IC
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FieldTechnology » Computer technologyEducation LevelMaster Degree or equivalent Skills/Qualifications Must hold a Master’s in Electrical Engineering, Computer Science or Computer Engineering. General computer
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on the problem of making distributed machine learning robust to network outages and computational bottlenecks. The work is part of the Norwegian national AI centre SURE-AI, and the PhD student will
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the research aspect, i.e. the PhD student works on a current research topic in the area of computer science in one of the computer science research groups of the University of Göttingen. The research
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materials systems at the molecular level with machine learning. The PhD Student will work with tumour sections to develop multiple instance learning and weak supervision / spatial transcriptomics models
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multiple technological platforms - photonics, electronics, biological neurons. Responsibilities and tasks This PhD project aims to optimize the design of hybrid electrical–optical computing architectures
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science (for example, but not limited to, data science, machine learning, statistics, computer science, mathematics, etc.) acceptance by a PhD supervisor with examination admission for PDS and formation
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), offers an exciting opportunity to work at the forefront of AI security, tackling some of the most pressing challenges in the field. As a PhD student, you devote most of your time to doctoral studies and