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Basic Knowledge of RF systems and computer networks is a plus Preferred Qualifications - Experience with Linux – Knows C++ and Python - Knowledge of basic principles in one or more of the following
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dynamics. Geo-spatial data handling skills (GIS, scripting, working on NetCDF files etc). Use of Linux machines and compilers, basic scripting in bash and python. Pre- (e.g. mesh generation) and post
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Max Planck Institute for Nuclear Physics, Heidelberg | Heidelberg, Baden W rttemberg | Germany | 9 days ago
data analysis techniques Experience of instrument development, calibration, and/or data analysis development Willingness to travel (desirable) Experience of data analysis using python The position is
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• You have Python programming skills, preferably also for lab instrument automation • You are fluent in English and have communicated your work in English, for example, through reports or presentations
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Knowledge and experience in the analysis of metagenomics and/or biological high-throughput data Knowledge of statistical methods in the context of biological systems Experience with programming (Python, Perl
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in Python or R. Python preferred. Knowledge of sensor placement and instrumentation, especially for water systems (e.g., pressure, flow, or water quality sensors). Knowledge of open-source water system
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working with algorithms, computational tools and frameworks Experience in programming is a must (R, Python, and/or Matlab) One year experience in an academic or industry setting Experience writing up ideas
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(e.g., Stata or Python), and contributing to literature reviews and academic writing. This position offers hands-on research experience at the intersection of behavioral economics and household finance
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 20 days ago
validation; proficiency in Python and scientific computing, including experience with finite element methods, preferably using FEniCS or DOLFINx; strong analytical and communication skills, with the ability
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issues. The ideal candidate will have a strong background in data analytics, be proficient in a general programming language (like Python) or a statistical package (R), and an appetite for engaging in non