33 parallel-programming-"Multiple"-"Humboldt-Stiftung-Foundation" positions at Nature Careers in Sweden
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The two Swedish Centres of Excellence, Umeå Centre for Microbial Research and Umeå Plant Science Centre at Umeå University , are running the ‘Excellence by Choice’ Postdoctoral Programme in Life
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Science, Natural Science and Geography. The teaching includes responsibility for a bachelor's programme, a master's programme, single subject courses, and courses in the Primary School Teacher Programme
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cells and proteins. Our research is in close collaboration with academy, health care and industry both nationally and internationally. Duties Within this project you will plan, design and perform research
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the requirements for promotion to senior lecturer during the employment collaborate and communicate with relevant stakeholders in the surrounding society Swedish and English are used in parallel at the department
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research is based on large and high-dimensional datasets across multiple modalities, including molecular, clinical and histopathology imaging data. Our computational pathology research is based
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extensive cell tracking studies with massive parallel sequencing and molecular manipulations to gain insights into regulatory mechanisms whose appropriate targeting could impose regenerative traits to mammals
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amounts to 720 000 SEK in total (360 000 SEK annual average) and is usually paid out as four separate payments during scholarship period. This project is running in parallel with another larger project with
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The Camunas-Soler lab is opening scholarships for two Postdoctoral Research Fellows to join our interdisciplinary research team (www.camunaslab.org ). These positions are part of a broader program
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and English are used in parallel at the department. The professor should be able to perform most of their tasks in English. However, as a public authority, the university has Swedish as its main
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degree in relevant fields (bioinformatics, immunology, computational biology, mathematics, and/or statistics). Strong programming skills in R and/or Python Demonstrated strong ability in analyzing high