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languages (e.g. FORTRAN, Python) is required. A strong background and experience in operating, analysing and visualising large datasets is desired. Track record of peer reviewed publications in high level
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. Experience with building simulation models (e.g., EnergyPlus, IDA ICE or similar). Good understanding of building physics Proficiency in programming e.g. in MATLAB, Python or similar environments for modelling
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/or high-throughput data processing generated by NGS sequencing, HPLC/MS techniques, or digital phenotyping systems. Familiarity with computational and bioinformatics tools such as R, Python
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to analyse datasets Experience in statistical or scientific programming (ideally R and/or Python) Experience in analyzing large and/or complex datasets Interest in quantifying uncertainties for computer models
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provides solutions and analyses to support strategic and tactical decisions. Adheres to University and unit-level policies and procedures and safeguards University assets. This list of duties and
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record of publications in leading international scientific journals (Q1) and effective scientific communication proficiency in one or more coding languages (e.g., Python, R, Matlab, or equivalent) strong
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Python) Experience in analyzing large and/or complex datasets Interest in quantifying uncertainties for computer models and/or climate predictions Ability to work in a team Ability to communicate orally in
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Coding skills and experience in one or more open-source languages (e.g. Python, R) Experience in the use of neuroimaging analysis (fMRI, MRI) to study mechanisms of brain function Previous experience
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 2 hours ago
gregor.b.steinbruegge@jpl.nasa.gov (818) 393-7913 Applications with citizens from Designated Countries will not be accepted at this time, unless they are Legal Permanent Residents of the United States. A complete list of
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in transcriptomics, and basic molecular techniques such as DNA/RNA isolation, PCR and qPCR and statistical analysis using R or python based packages would be preferred. The position is available