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to statistics (Statgraphics), and spectroscopic and chromatographic characterizations (MassLynx and LabSolutions). Reference management software. Programming in MATLAB. English and Catalan Desired: Experience in
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data Multiunit electrophysiological experiments, particularly using Neuropixels Software Expertise and Data Analysis: pCLAMP, ImageJ, MatLab, Imaris Additional expertise using Igor Pro, Prism, Python
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. MATLAB, Python) Prior work related to toxicology, safe and sustainable by design (SsbD) Prior experience in the preparation of nanofibers, textiles, cosmetics and/or cell and tissue models (skin, lung
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in Civil/Environmental Engineering, Environmental Sciences, Geography, or other quantitative fields are welcome. Additional qualifications: • Strong programming skills, especially Python and MATLAB
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. MATLAB, C/C++, Python. Highly motivated and keen on working in an international and interdisciplinary team. Applicants with strong background in the following fields are preferred: Machine Learning Formal
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lab/field validation. - Strong DSP/algorithms and real-time control; proficiency in Python/Matlab. - Experience integrating optics with electronics and firmware. - Track record of publications in fiber
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FieldBiological sciencesYears of Research ExperienceNone Additional Information Eligibility criteria - stereotactic surgery in rodents - two-photon imaging - analysis using Python and MatLab - scientific writing
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virtual reality and/or augmented reality technologies. Programming skills (e.g., MATLAB, Python, R). Experience preparing outputs to peer-reviewed publication standards. Experience delivering presentations
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to manuscript preparation and dissemination of research findings. Qualifications Ph.D. in Engineering, Physics, Computer Science, Neuroscience, or a related discipline. Strong programming skills (Python, MATLAB
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characterization with scanning electron microscopy is a plus Experience with computational tools such as MATLAB, Python or relevant tools Ability to work independently and collaboratively in a multidisciplinary team