66 electronics-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"CNR" PhD positions in Norway
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for the positions. Applications must be submitted electronically by using the "Send Application" button on the right-hand side of this announcement. Paper or e-mail applications will not be accepted. You are required
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at unprecedented resolution and link structural organization to functional sensory responses. Specifically, the project will pursue the following interconnected aims: 3D Electron Microscopy Reconstructions
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and execute experiments in genomics (RNA‑seq/ATAC‑seq/ChIP‑seq), proteomics and recombinant protein expression/purification. Design and perform cellular assays. Maintain accurate electronic lab records
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Submit your application through the “Send application” button on this vacancy’s page in BI’s electronic recruitment system. Please consult BI’s PhD application guidance and upload the following: A cover
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on this vacancy’s page in BI’s electronic recruitment system. Please consult BI’s PhD application guidance and upload the following: A cover letter explaining your motivation and relevant
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computational image analysis, computer vision and machine learning. The aim is to develop robust and standardized methods to link structural, mechanical and biological properties to biomaterial performance and
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and execute experiments in genomics (RNA‑seq/ATAC‑seq/ChIP‑seq), proteomics and recombinant protein expression/purification. Design and perform cellular assays. Maintain accurate electronic lab records
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the application deadline. Therefore, make sure that your application clearly shows how your skills and experience meet the criteria described above. The application and all attachments must be sent electronically
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work Carry out computational analyses and interpret data Maintain an accurate electronic laboratory journal Present research findings at group meetings, seminars and conferences Contribute to manuscript
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microscopy and SEM, with computational image analysis, computer vision and machine learning. The aim is to develop robust and standardized methods to link structural, mechanical and biological properties