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: Education: PhD in Biomedical, Neuroengineering, Electronic or Electrical Engineering, Physics, Bioinformatics or related engineering fields · Advanced Python / MATLAB programming skills. · Electrophysiology
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Qualifications Proficiency in AI modeling techniques and tools, with a demonstrated track record in real-world applications. Strong coding skills, preferably in Python, C++, and other relevant languages
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, or commissioning of gravitational-wave detectors, is desirable. Good computing skills in python and good communication skills in English. What will be your role? The candidate will be expected to play a central role
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, biosignals) • Statistical modeling and dimensionality reduction • Python-based scientific computing (NumPy, SciPy, PyTorch/JAX, etc.) Core Research Skills • Privacy and/or sense-of-agency ethical analysis
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fluorometric profiles of cyanobacteria using devices such as the Beckman Coulter Cytoflex Bioinformatics – Basic scripting experience in languages such as Python, R or BASH to carry out rudimentary genomics
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using Python, MATLAB, or equivalent programming languages. Preferred Qualifications • Working knowledge of X-ray optics, detector systems, and beamline instrumentation. • Background knowledge in ultrafast
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experience in economic and supply chain analysis, computational modeling, or policy analysis. Proficiency in scientific programming languages (e.g., Python, R) and data analysis libraries (e.g., pandas, NumPy
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/analysis scripting (e.g., Python) and/or beamline control and DAQ environments (e.g., EPICS). Experience supporting users or mentoring students in an experimental facility setting. Job Family Postdoctoral
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(e.g., Mathematica, Matlab, Python, R), as evidenced in application materials. Demonstrated experience communicating clearly and effectively, as evidenced in application materials and peer-reviewed
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widely used in micro-econometrics, and to calibrate macro models. Programming skills in languages such as Fortran, Python, Julia, Matlab, Gauss, etc. Demonstrated ability to conduct independent research