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and track record in R&D and standardization. Prior experience in state-of-the-art AI techniques. Mastering of a programming language would be valued (e.g. Python, C, Matlab, …) Self-driven, highly
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) or similar. You should also excel at building and automating heat‑flux and temperature measurement set-ups using LabVIEW, MATLAB or equivalent software. Familiarity with ultra‑low‑conductivity materials (e.g
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effects, cryogenic behavior, XRD, Raman spectroscopies. Modeling of material and detector physics as it relates to observed phenomena, using COMSOL, MATLAB, or other software. Participate in experimental
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. Preferred backgrounds include nonlinear optics, quantum optics, spectroscopy, or instrumentation. Proficiency in software and coding (e.g., MATLAB, LabVIEW, Python) is expected. Applicants with a strong
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or machine learning. Excellent programming skills (e.g., MATLAB, Python, or ROS), a strong publication record, and an ability to work collaboratively in multidisciplinary environments are essential. Prior
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High-level analytical capability Ability to communicate complex information clearly Experience in COMSOL Multiphysics, Coventorware, Matlab and Python and Autodesk Fusion360 Experience of working with
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MRI studies Perform image analysis and postprocessing using neuroimaging softwares such as SPM, CONN, BrainVoyager, EEGlab and NIRSlab, etc Apply programming skills in E-Prime, MATLAB, PsychoPy and
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postdoctoral experience). Proficient coding skills in at least one of Matlab, R and Python. Experience and proficient in processing different types of remote sensing datasets. Experience with terrestrial
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and informatics skills are required, i.e., R, Python, MATLAB, deployment of web experiments (using cloud services). Being able to communicate fluently in English is a must. Your future tasks: As a new
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of physics/maths and biology is essential. Coding competency (in C, Python, Matlab or similar language) is essential. Applicants should demonstrate a publication record appropriate to their level of experience