19 parallel-computing-numerical-methods-"Prof" Postdoctoral research jobs at Nature Careers in Sweden
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, visualization, and development of new computational methods for processing and analysis of large-scale omics data. We welcome applications from candidates with pure computational background and those combining
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Postdoctoral studies in single-cell and computational biology Do you want to contribute to top quality medical research? A postdoctoral position is available in the laboratory of Professor Francois
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), numerical methods, and basic knowledge of material science. It is meriting to have one or more of the following skills/qualities: experience and/or thorough understanding of theoretical/numerical methods
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international team including Prof. Ann-Kristin Bergström (Umeå University), Prof. Irena Creed (University of Toronto, Canada), and other partners in Sweden, Finland, Norway, and the United States. Qualifications
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numerical methods used to design wind turbines and understand turbulent combustion in jet engines, this research aims to address critical computational challenges in simulating the physical dynamics
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advanced spectroscopy and electrochemical methods. Strong proficiency in written and spoken English. Demonstrated early career achievements, including scientific publications. Contract terms Full-time
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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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Postdoctoral position in fabrication of hollow-core optical fibers for next-generation communication
, both in oral and written forms. Highly meritorious: Knowledge in theoretical/numerical methods for simulation of thermo- and fluid dynamics. Knowledge in optics. Ability to communicate in Swedish. We
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new method for lncRNA gene identification from whole genome sequences. Collaborating with experimental researchers to integrate computational findings/tools with functional investigation. Scientific
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? With data-driven methods, new opportunities arise to understand ecosystems as complex, dynamic networks. This project aims to analyse the world’s most extensive eDNA database, consisting of weekly