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Field
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(e.g., Matlab, Python), neuroinformatics, and/or advanced microscopy tools is plus, but not required. More details of the lab including publications can be found in the lab web site (https://kimlab.io
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Experience with rodent development, colonies maintenance Fluent oral and written English communication skills Python, Matlab, R or other relevant programming language skills Experience in the following will
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closely related field. Proficiency in MATLAB or Python. Prior experience with Neuroimaging analysis and/or medical image analysis. At least one journal publication as first author. Preferred
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Postdoctoral researcher (f_m_x) - Waves in the Inner-magnetosphere and their Effects on Radiation...
Work experience with IT programming or scientific programming and with Unix operating systems Advanced knowledge of Matlab and/or Python or IDL Basic knowledge of Fortran and C++ Experience in analysing
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natural sciences Experience with scientific programming and Unix operating systems Experience with various programming languages, including C++, Python and Matlab Ability to work with large datasets
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for visualization and presentation of methodology, results, and demonstrations. Preferred Qualifications: Experience and demonstrated ability to use Microsoft Excel and programming skills in C, C++, Python, or Matlab
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in MATLAB, Python, or other relevant programming languages Motivation to work with animal models Self-motivated, ability to work independently and in a team, willingness to conduct out-of-working hours
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, Matlab Preferred Qualifications: Experience in thermos-fluids in porous media. Experience in High-Performance Computing (HPC) on CPU or GPU platforms. Experience in mentoring of graduate and undergraduate
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for handling and analysing large and complex geophysical datasets, including programming skills in languages such as Python or Matlab. 10. Skills in description, analysis and dating of sediment cores. 11. Skills
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. Expertise in computational neuroscience software (e.g., MATLAB, Python) as well as statistical methods and statistical packages (e.g. SAS, R). Experience with machine learning methods is preferred