347 computer-science-intern "https:" "https:" "https:" "https:" "The University of Edinburgh" Postdoctoral positions at Nature Careers
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Postdoctoral position in the development of an AI-based phenotyping system for high-throughput sc...
work. Qualifications PhD in computer science, computational biology, engineering, or related fields. Experience developing deep-learning tools for image processing, automatic monitoring of agricultural
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, with strong expertise in RNA biology, structural biology, enzymology, glycobiology and quantitative proteomics. More information: https://mbg.au.dk What we offer We offer: The opportunity to work in an
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a creative interdisciplinary and international environment at the Department of Chemistry. This is an open and dynamic research environment with excellent access to a wide range of research
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The University of Regensburg is a research-driven, interdisciplinary campus university in Germany with over 20,000 students and a strong international reputation in biomedical research. At the Chair
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technology to real-world conservation challenges, working directly with data that informs habitat management and biodiversity protection. Expected start date and duration of employment This is a three year
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computational genomics of Alzheimer’s disease. The Sleegers lab is an international team committed to increasing insights into the complex genetics of Alzheimer’s disease and to investigating the translational
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staff office (ISO) https://www.sdu.dk/en/om-sdu/job-sdu/international-staff For the right candidate, there will be possibilities to influence the project and develop new project ideas within the project
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problems in human health with cutting edge technology and through inter-disciplinary collaborations with world-class scientists and physicians in Beijing. CIMR will provide education and training
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. Andersen (Andersen group ) at the Department of Biochemistry and Molecular Biology (BMB) at SDU. The Andersen group is associated with the ‘Biomedical Mass Spectrometry and Systems Biology research unit
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to identify metabolic alterations that drive tumor initiation and progression. This work has recently expanded to examine how metabolism and autophagy influence the biology of embryonic and cancer stem cells