Cancer Research UK Manchester Institute, Cell Division Group
Salary in the range of £31,604 - £41,929 (dependent upon qualifications and experience). Job Ref. MI/20/29. Contract. fixed term until 1st December 2022.
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Cancer Research UK Manchester Institute, Cell Division Group
Salary in the range of £31,604 - £41,929 (dependent upon qualifications and experience. Job Ref. MI/20/30. Duration. fixed term until 1st December 2022.
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Who we are. The Physics Department of the University of Otago was the first Physics Department established in New Zealand, and physics was a foundation discipline when the University opened in July 1871.
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The EECS department in Khalifa University, Abu Dhabi, UAE (www.ku.ac.ae) is seeking candidates for a postdoctoral position in computer vision and image processing.
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Max Planck Institute for Biophysical Chemistry, Department of Theoretical and Computational Biophysics
The Max Planck Institute for Biophysical Chemistry is one of the largest institutes of the Max Planck Society for the Advancement of Science and conducts basic research to advance knowledge and benefit society.
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Max Planck Institute for Biophysical Chemistry, Department of Theoretical and Computational Biophysics
The Max Planck Institute for Biophysical Chemistry is one of the largest institutes of the Max Planck Society for the Advancement of Science and conducts basic research to advance knowledge and benefit society.
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A 2-year Post-Doc contract is available to join Luisa Figueiredo laboratory at the Instituto. de Medicina Molecular, in Lisbon. Funding is provided by the ERC (European Research.
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Weill Cornell Medicine, Department of Anesthesiology
Diany Paola Calderon lab at Weill Cornell Medicine in New York City has an opening postdoctoral position in her laboratory. Research in the Calderon lab focuses on understanding how the different components of the arousal pathways establish and maintain consciousness in the brain.
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The Institute of Cancer Research, Breast Cancer Research
The focus of the Functional Genetic Epidemiology Team is the identification and characterisation of genetic variants that are associated with breast cancer risk – specifically, low penetrance variants that map to non-coding DNA.
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