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education and past and previous employments. A list with your publications. A copy of the PhD certificate and other relevant degree certificates. Names and contact details with e-mail addresses of two
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cancer biology who will work within the Integrative Pancreatic Cancer Research (iPanCare ) Lab. We are a part of the SciLifeLab & Wallenberg National Program for Data-Driven Life Science (DDLS ). iPanCare
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evacuation scenarios. Qualifications Requirements for employment are: A Master degree in the Engineering domain (e.g., Virtual Reality or Computer Science) or equivalent. Research experience in the domain
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teaching at the undergraduate and master's levels, as well as supervising master's and/or PhD students to some extent. Another important aspect involves collaboration within academia and with society at
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challenges, and we are currently moving the code to a new python based High Performance Computing enabled modelling framework. This is an exciting opportunity to contribute to a high-impact scientific codebase
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range of disciplines in plant biology, including ecology, computational biology, genetics, physiology, biochemistry, cell biology and molecular biology (see www.upsc.se). The postdoctoral scholarship
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other experts within the Support for Computational Resources unit at NBIS and related organisations, notably SciLifeLab, National Academic Infrastructure for Supercomputing in Sweden (NAISS), and EuroHPC
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administrative support systems Solid computer skills and proficiency in Microsoft Office (including Excel), and the ability to adopt new digital tools is required. Fluency to express yourself in speech and writing
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application! We are now looking for Computational Research Assistants in Tumour Evolution and Single-cell Genomics. The position Cancer evolves over time and space, with subclones often acquiring new mutations
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biomimetic spider silk yarn. About the position You will be part of an excellent team of several PhD students, Postdocs, and Researchers who work on different projects related to biotechnological methods