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Lund, Helsingborg and Malmö. We are united in our efforts to understand, explain and improve our world and the human condition. Lund University welcomes applicants with diverse backgrounds and
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to build sequence dependent predictive deep learning models, and physical mechanistic models (thermodynamic and kinetic models etc.). Examples of suitable backgrounds: machine learning, programming
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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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Stockholm. The applicants will be integrated in a bioinformatics team in an exciting research environment and will have many opportunities to further improve current skills and develop new skills to keep up
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Work in Stockholm, in close proximity to nature A research environment with a strong base in use of super-resolution microscopy for biomolecular applications State-of-the-art laboratories in cell biology
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life sciences. The system development team consists of two Scrum teams that develop and implement tools for handling big data and web applications for research groups and EU-funded projects. You will be
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at Uppsala University. The successful applicants will be integrated in a vibrant bioinformatics team in an exciting research environment and will have many opportunities to further improve current
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detecting fraud – but other sample types will also be studied, and the successful applicant will contribute to shaping the research direction. The applicant will work closely with wet and dry-lab researchers
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to ensure that your application is complete according to the instructions in the ad. Your complete application must be received by KTH no later than the last day of application, midnight CET/CEST (Central
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admitted to postgraduate education (Chapter 7, 39 § Swedish Higher Education Ordinance), the applicant must have basic eligibility in accordance with either of the following: passed a second cycle degree