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Field
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pipelines to extract biological signals from noisy data sets using Python, MATLAB, and/or LabVIEW. Collaboration: Work alongside biologists to translate raw sensor data into insights explaining the mechanisms
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ultrafast laser systems, interfacing instruments, Labview/Matlab programming, experience working with biological systems and/or nanoparticles, surface functionalization, materials characterization, various
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++) for microcontrollers, as well as familiarity with automation tools (e.g., LabVIEW, PLC) and version control systems (e.g., Git). Additionally, they should showcase experience in prototyping, debugging, and testing
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., Multiphysics finite element analysis, Matlab, Labview etc.) cleanroom experience, and characterization of electronic devices are required. Further, knowledge of system level integration and haptics feedback in
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developing data acquisition and signal processing software (LabVIEW, MATLAB, etc.), mainly for temperature and pressure data. Some familiarity with magnetic fusion energy Required Application Materials CV
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. They should demonstrate hands-on experience in embedded programming (C/C++) for microcontrollers, as well as familiarity with automation tools (e.g., LabVIEW, PLC) and version control systems (e.g., Git
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of obtaining the doctoral degree in accordance with the regulations of the National Science Center https://www.ncn.gov.pl/sites/default/files/pliki/uchwaly-rady/2021/uchw… . Persons without a doctoral degree may
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interpretation of data. Collaborate with partners within the project and others as appropriate The post holder will join the Microwaves & Antenna Engineering Group (https://microwaves.site.hw.ac.uk/) and will be
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scientists by offering high-quality educational programs to master, PhD students and postdoctoral researchers (full details in https://iciq.org/careers/ ). Short Project description: This project aims
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, 3DExperience) Basic programming experience in control systems and process analysis software (e.g., LabVIEW, Matlab, Python) Merits for the position include: Experience in friction stir welding experiments