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with fault detection, system reliability, or fault-mitigation techniques. Strong programming skills (C/C++, Python; hardware-description languages “e.g., HLS, VHDL” is a plus). Motivation to pursue a PhD
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Python and Fortran/C. Strong collaborative skills, drive, and independence. Experience and expertise that demonstrate potential to complement and strengthen ongoing research within the department and
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++ and/or Python Experience with SOFA, FEniCSx or similar simulation frameworks is a strong plus Motivation to work at the crossroads of mechanics, AI and medical technology, in close collaboration with
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. Collaborate with project partners and align work with WP4 activities (see here ) Where to apply Website https://jobs.smartrecruiters.com/SGS/744000094889888-expert-researcher-bamboo-p… Requirements Research
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. R, MatLab, Python) are expected as is experience in planning and executing fieldwork. Preferable you have experience with various telemetry methodologies to study fish behavior (e.g. PIT, radio
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, Python) are expected as is experience in planning and executing fieldwork. Preferable you have experience with various telemetry methodologies to study fish behavior (e.g. PIT, radio, acoustic, and
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level. Background in solid-sate physics, semiconductor devices, quantum information, and/or analogue circuits is desirable. Experience in data analysis and programming, particularly in the use of Python
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, including REDCap along with experience in research compliance and administrative management systems. Experience in Python, R, and MATLAB for data analysis. Experience in administering and developing fMRI and
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 3 months ago
to financial and economic time series, working with programs such as MATLAB, Python, and C++. The chosen candidate will have the opportunity to take courses and attend seminars at MIT. The ideal candidate will
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programming languages in R/Python – information provided in the CV and/or motivation letter; Proven prior professional experience in processing long-term environmental time series – information provided in