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Program
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-, T2-weighted MRI, diffusion-weighted imaging) Programming experience (e.g., MATLAB or Python) Demonstrated trajectory toward applying for an NIH K-award within two years of appointment Special
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to the focus area of the project of your choice Experience with analysis of scientific data Scientific programming skills, e.g. Python, Matlab are an additional asset You have an independent and responsible way
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or equivalent Skills/Qualifications Technical Skills: MatLab / Simulink. Python. LaTeX. Specific Requirements Knowledge: Power and High Voltage Systems. Power Electronics. Predictive Maintenance. Professional
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quantum many-body theory with a focus on quantum impurity models (particularly Kondo model). Strong computational skills (with Python or Julia or C++ or Matlab or equivalent) and using numerical techniques
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Practical experience with vector network analyzers and on‑PCB LRM/TRL calibration/de‑embedding. Proven experience in behavioural modelling and DPD (MATLAB/Python) Desirable Criteria Knowledge, Skills
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tools such as MATLAB, Python, or equivalent engineering software. Experience with experimental and instrumentation measurements setup for noise and vibration (e.g., sound intensity probes, vibration
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well as with a team. He/she is preferred to have experiences in: Microfluidic design and fabrication MatLAB and/or Python proficiency for data processing PCB designing and/or microprocessor programming (ARM
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on advanced modelling Knowledge and experience with the any of the following software: Matlab Python, other Preferred (not all): Knowledge and/or interest on vulnerability identification Experience in
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advanced signal processing and time–frequency analyses of neural recordings. Develop and implement computational pipelines using MATLAB, Python, or similar platforms. Lead manuscript preparation for peer
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implementation of data pipelines. Programming in computational neuroscience: Python, MatLab. Specific Requirements Knowledge: Processing of neural signals. Network science. Statistical learning. Algorithm design