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. The applicant should have: A PhD in meteorology, climatology or other related fields Experience in mesoscale modelling, preferably WRF Experience of scientific programming and running code on HPC systems
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in our ability to read and write genomic code, combined with advances in automation, analytics and data science, has fundamentally changed the scope and ambition of harnessing the potential
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considered an asset in these positions. Applicants must also be able to demonstrate excellent ability to code with or learn computer programming languages, such as C++, C#, Python, and/or Matlab
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modelling, preferably WRF Experience of scientific programming and running code on HPC systems Experience with Fortran, Python and Linux Shell Any of the following is advantageous but not essential
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conducted on qualified candidates for the position. The Novo Nordisk Foundation Center for Biosustainability (DTU Biosustain) Recent progress in our ability to read and write genomic code, combined with
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/w) fixed-term postdoctoral position in Simulation and Modelling. The position focuses on designing and implementing the agent-based modeling component of research projects in code, requiring
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Two year postdoc position at Aarhus University for single molecule FRET based investigations of l...
fluorescence spectroscopy. Jobdescription The postdoc will first incorporate donors and acceptors by a genetic code expansion approach, introduction of free cysteines and insertion of peptide tags for labelling
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written and spoken English. Fluent in a computer coding language (python or Matlab or C++ or etc). The Scientific environment We offer creative and stimulating working conditions in a dynamic and
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dialect speaker’, experiences of encountering other language and cultural codes and norms in relation to migration from rural to urban areas, or shifting attitudes toward dialect speakers over time. It is
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Develop standard code packages and training to allow researchers to conduct statistical analysis and identify trends within datasets. Ensure data integrity and reproducibility, reducing redundant data