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Profile: • PhD in chemistry, materials science, chemical engineering, mechanical engineering or a related discipline • Strong experimental and/or computational background in laboratory automation, robotics
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of molecular data. While machine learning has transformed fields such as computer vision and natural language processing, the molecular life sciences remain a rich frontier for methodological innovation
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available in the further tabs (e.g. “Application requirements”). Programme Description The international Leo Baeck Fellowship Programme awards grants to doctoral students who carry out research
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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
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the opportunity to contribute to the Public Science Lab, the Ethical Data Initiative (www.ethicaldatainitiative.org), the TransforM excellence cluster and the PHIL_OS project (https
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researcher in Computer Science, Data Science, Human-Computer Interaction, Psychology, Empirical Educational Research, Learning Sciences, Cognitive Science, or related disciplines who is eager to contribute
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research, the programme encourages technology transfer, real-world applications, and engagement with innovation and startup ecosystems. By connecting global talent with leading research, industry, and
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available in the further tabs (e.g. “Application requirements”). Programme Description The Indo-German Science & Technology Centre (IGSTC), established as a joint initiative of the Department of Science and
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Machine Learning Group, Department of Engineering, CambridgeMLG Cambridge About Us News Research Publications People PhD Admissions Blog Latest News Papers with MLG authors to appear at ICML and
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, societal, and technological aspects of the environment shape this process. Working across disciplines such as psychology, neuroscience, computer science, economics, and sociology, we conduct research in a