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Field
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License: No If yes, what is the preferred licensure/certification?: Preferred Computer Applications: Preferred Other Computer Applications: REDCap, Openspecimen, R, Matlab Preferred Additional Knowledge
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numerical analysis or modelling of (palaeo)environmental data using R/python/Matlab or similar platforms. Experience with sediment analysis, which may include palaeoecological techniques, sedimentology
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of the drive), preferably using PLECs and Matlab/Simulink Experience of various motor control techniques for low and high speed, multi-phase permanent magnet motors and switched reluctance machines Extensive
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Application and maintenance of measurement technology and sensors (electrical, acoustic, thermal) Participation in data analysis and development of AI-based evaluation methods (e.g., in Python, MATLAB) Planning
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microcontrollers High layer count design employing BGA components, stackups for high speed signals, and transmission lines Common MCU IO such as SPI, I2S, USB, and Ethernet Matlab, Labview, C, C++, and C#; design of
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operating systems, C, C++, VBA, MATLAB, PYTHON. Successful candidates will also have a keen understanding of ultrasound concepts with hands-on experience and at least a master's degree with a focus on digital
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an advantage)Vehicles Dynamics & Vibrations Engineering (preferably an experienced user of Matlab/Simulink, ADAMS, Ansys, AVL, VI-grade or similar software modelling, experience in noise, vibration
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the laboratory. Knowledge, Skills and Abilities Requires knowledge of seawater carbonate chemistry system Ability to use and maintain spec pH instruments. Knowledge of R or Matlab desirable. Education Requirement
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, Spatial Transcriptomics or proteomics/mass spectrometry would be advantageous as would experience using R and/or python code for bioinformatics data analysis of multiplex datasets. Knowledge of MATLAB, Perl
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navigation of medical records. ● Has experience with coding and data analysis (e.g., MATLAB, Python). Preferred Qualifications: ● Practicum relating to the treatment or research of neurodegenerative disorders