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Python programming skills are required, and prior experience with developing open-source software or databases will be considered a plus. Candidates should apply at: https://puwebp.princeton.edu/AcadHire
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part of the Forschungsverbund Berlin (https://www.fv-berlin.de/ ) and the Leibniz Association (https://www.leibniz-gemeinschaft.de ). You can find more details on the institute webpage: https://www.ikz
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settings. KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED): NGS data. Proficiency in Python and/or R for data analysis and pipeline development. Experience working in a Linux/HPC environment, including job
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): Bachelor's degree or higher in Computer Science, Software Engineering, or a closely related engineering discipline, with relevant professional or research experience. Extensive experience with Python software
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Qualifications: M.S. (or equivalent professional degree) in physics or a related field, and experience with different computer environments and languages especially Python, Matlab, IDL, FORTRAN and UNIX/LINX
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School graduates over a thousand students who are ready to take on great ambitions and challenges. For more details, please view: https://www.ntu.edu.sg/eee Key Responsibilities: Assist in computationally
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, SKILLS AND ABILITIES (REQUIRED): Demonstrated experience in cancer genomics, including analysis of somatic alterations (SNVs, CNVs, and/or SVs) from NGS data. Proficiency in Python and/or R for data
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or Python. Responsibilities include teaching two undergraduate courses in each of Lawrence’s three ten-week terms. The successful candidate will be the third statistics and data science faculty member in
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Requirements: PhD in Biomedical Engineering, Electrical Engineering, Neuroscience, Computer Science, Psychology, or closely related field Demonstrated MEG analysis experience (FieldTrip/Brainstorm/MNE-Python
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and coding using either Python or Mathematica are essential. Experience with a computer algebra system such as Mathematica is an advantage. We are also looking for good written and verbal communication