49 web-programmer-developer-university-of-liverpool positions at SciLifeLab in Sweden
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track record, including high-impact and highly cited publications. Good knowledge in English, oral and written. Additional merits Expertise in web programming and web application development. Expertise in
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chloroplasts. This project will develop and apply new synthetic biology methods with the aim to enhance the rate of carbon fixation and conversion in cyanobacteria. Such methods include, for example, CRISPR/Cas
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Cell initiative is a new flagship research program aiming to develop an AI model of a human cell to predict key cellular functions. It is funded by the Knut & Alice Wallenberg Foundation (KAW) and
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other than the university at which the applicant defended their doctoral thesis. In application-oriented areas, experience from research and development work within the industry or other organizations is
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. The instructions for applicants are available at: How to apply for a position . Stockholm University contributes to the development of sustainable democratic society through knowledge, enlightenment and the pursuit
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and accepted to the PhD program at Stockholm University. Project description Project title: “Deep learning modeling of spatial biology data for expression profile-based drug repurposing”. A new exciting
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KTH Royal Institute of Technology, School of Engineering Sciences in Chemistry, Biotechnology and Health Project description Third-cycle subject: Medical Technology (Joint KTH-KI program) In
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. The instructions for applicants are available at: How to apply for a position . Stockholm University contributes to the development of sustainable democratic society through knowledge, enlightenment and the pursuit
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National Program for Data-Driven Life Science (DDLS) is a 12-year initiative that focuses on data-driven research, to train and recruit the next generation of life scientists and create strong and globally
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year project, funded by the DDLS program, we aim to develop AI-based tools in design of affinity ligands, such as the prediction of binding interactions between proteins. Data-driven life science (DDLS