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learning analyses, but also with other types of analysis. The work involves supporting Swedish researchers under a user fee-based support model. The projects will differ in complexity and length and will
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are service-orientated, proactive, thorough and able to quickly find solutions to questions and problems. You enjoy managing multiple tasks in parallel and working independently, efficiently and in a
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, advanced, and research-level courses, with undergraduate courses primarily in the medical, biomedical, pharmacy, and nursing programs. The department is located at the Biomedical Center (BMC) in Uppsala and
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) environments. Strong programming skills (e.g. TensorFlow, PyTorch, scikit-learn). AI/ML applications in life science. Large-scale data management (databases, data curation, metadata management, FAIR, etc
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and bioinformatic analysis of gene expression data in different types of tissues: mice, humans and plants. This work will include analysis of data generated with the latest Spatial Transcriptomics and
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advanced biostatistics/machine learning analyses, but also with other types of analysis. The work involves supporting Swedish researchers under a “user fee-based” support model. The projects will differ in
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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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personnel from all different sites at the NBIS retreat. Requirements You should hold at least a bachelor’s degree in computer technology, computer science, systems science or possess documented equivalent
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to collaborate with scientists of very different backgrounds. Emphasis will be placed on personal suitability for the position, such as ability to drive projects and work in a collaborative, yet service-minded
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with different backgrounds, experiences and perspectives – diversity enriches our work and helps us grow. Preserving everybody’s equal value, rights and opportunities is a natural part of who we