126 evolution-"https:"-"https:"-"https:"-"https:"-"https:"-"BioData" positions in Sweden
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group, we value a positive work environment characterized by respect and care in our interactions. We continuously strive to create conditions that foster job satisfaction, development, and participation
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program, which has four strategic areas: cell and molecular biology, evolution and biodiversity, precision medicine and diagnostics, epidemiology and biology of infection. For more information, please see
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users in all aspects of data analysis and data handling Application and development of robust statistical approaches for hit calling and data interpretation Management of datasets for FAIR compliance and
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as a postdoctoral researcher is a career-development position for junior researchers, we are primarily interested in applicants who completed their doctoral degree no more than three years before
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(such as growth and remodelling), tumor growth and perineural invasion and involves areas of cancer, neuroscience developmental-, cell- and molecular biology and drug development. Description of tasks
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Modelling and Optimization. Documented good profiency in software development. Good ability to work independently and to formulate and tackle research problems. Good written and oral communication skills
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to apply for a position . Stockholm University contributes to the development of sustainable democratic society through knowledge, enlightenment and the pursuit of truth.
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themselves as an independent researcher at the international level by having: contributed to important and innovative knowledge development within the framework of their own research demonstrated considerable
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encounters and scientific collaborations, actively striving to address current societal challenges through knowledge development and education. We serve as a hub responsible for creating a cohesive and strong
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in artificial intelligence (AI) to join our growing biomedical innovation team. In this pivotal role, you will lead and contribute to the design, development, and deployment of machine learning