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Field
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young and experienced scientists from various disciplines develop interactive materials based on the principles of nature. It is a location at which people with different talents, experiences and skills
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learning, where PhDs and postdocs receive comprehensive insights in the cellular processes underlying gene expression, as well as a clear view of their medical importance and potential for a future research
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equality and excellence . If Swedish is not your native language, Chalmers offers Swedish courses to help you settle in. Application procedure The application should be written in English be attached as PDF
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/Microbiology PhD in Biology/Molecular Biology/Biotechnology/Microbiology More than 10 years’ experience with bioinformatics Oral and written skills in English language Desired qualifications: Working experience
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physiology Language skills (English) Intermediate programming skills (R, Python or Matlab) Creative thinking Level of enthusiasm and motivation As a formal qualification, you must hold a PhD degree (or
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 12 days ago
for extension based on mutual interest. We are looking for individuals with a strong theoretical and practical background in large language models, machine learning, and natural language processing, combined with
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to the translation of the four core optogenetic approaches to restore i) hearing and ii) vision and explore the potential of optogenetics for iii) gastric pacemaking and iv) brain-computer interfaces. These four teams
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fundamental advance toward the development of more sustainable chemistry, through a new type of catalyst inspired by molecules found in nature. Main Tasks and responsibilities: Synthesis and characterization
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Linguistics to lead the curated stream of the COALA project. This role is an exciting opportunity to contribute to a pioneering project at the intersection of natural language processing, historical linguistics
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the adaptability, efficiency, robustness, and scalability of next-generation networks. While deep neural networks tailored for specific tasks have shown strong performance, advances in fields such as natural language