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employment that the master's degree has been awarded. Experience in programming in languages such as MATLAB, R or Python is a requirement. Experience in Magnetic Resonance (NMR, MRS, or MRI) is a requirement
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is also expected to re-implement historical narrative systems in Python and help determine the course of a larger collaborative CNS project dealing with such systems. About the LEAD AI fellowship
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UNIX/Linux interface and basic programming (e.g. Python) is a requirement. Experience with machine learning is an advantage. Experience from free energy calculations is an advantage. Applicants must be
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for the completion of the doctoral programme may be given consideration. The suitable candidate must have: Strong programming skills (preferably Python or MATLAB) Experience with using satellite remote sensing data
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MATLAB or Python) Desired qualifications: The ideal candidate should have: Demonstrated knowledge of fluid dynamics Experience with anisotropic viscous flow Experience with ice texture formation Skills in
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Penetrating Radar Near Surface Geophysics Operation of planetary science instruments The Post Doc candidate must have experience in Python programming The Post Doc candidate must be eligible to be able to join
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to work independently and collaboratively in multidisciplinary teams Desired qualifications Crispr Crispr / siRNA screens Proficiency in programming (e.g., Python, R) Experience with high-throughput
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experience with designing experimental studies and analysing quantitative data. Proficiency in either R or Python. Favourable qualifications (not requirements, but give applicants an advantage): Relevant
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in Python and help determine the course of a larger collaborative CNS project dealing with such systems. About the LEAD AI fellowship programme: LEAD AI is the University of Bergen's career and
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commonly used programming languages in the field (Python, MATLAB, IDL, Fortran, etc). Prior experience working in the field or other high stress environments. Outgoing and eager to work in a team setting