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Max Planck Institute for Mathematics in the Sciences | Leipzig, Sachsen | Germany | about 9 hours ago
Research Group "Cluster Algebras" of Dani Kaufman has openings for PhD Student and Postdoctoral Researcher Positions. The group is based at the Max Planck Institute for Mathematics in the Sciences, a
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review). Requirements: PhD in Psychology, Gender Studies or film studies Desirable: - relevant knowledge in trauma studies - Knowledge in the field of qualitative methods of interview evaluation
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Inria, the French national research institute for the digital sciences | Bures sur Yvette, le de France | France | 9 days ago
science. We are looking for a highly motivated researcher with the following qualifications: - PhD in applied mathematics, control theory, signal processing, biomedical engineering, or a related field
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photonic baths Participate in group meetings, preparation of manuscripts, and dissemination of results at conferences Work in an international environment and collaborate with our partners What we expect PhD
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: • PhD in molecular biology, biochemistry, biotechnology, immunology or related field • Proven wet lab experience in NGS, qPCR, Western blotting, or immunofluorescence, molecular biology, cell culture
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(IDP), conduct research studies, attend required courses/seminars, write grants, publish manuscripts, present oral presentations locally and nationally, and learn other skills necessary for a successful
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on understanding the spread and control of human infectious diseases using modelling and pathogen genomics. This is a short-term opportunity to apply machine learning methods to two key projects. First, you will
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supervised by Dr. Ali Trabolsi Required Education, Certifications, Licensing or Training PhD in chemistry. Preferred Education, Certifications, Licensing or Training PhD in chemistry having research topic
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Essentials PhD (completed or near completion) in Computer Science, Computer Vision, NLP, Machine Learning, Computer Graphics/Animation, HCI, or a related field. Strong background in deep generative
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copolymers, which will then be evaluated for their degradability and mechanical properties. Using active learning, a branch of AI, the research will be guided through the large parameter space of copolymers