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, impacts, or resilient system design. Proficiency in programming (e.g., Matlab/Simulink, Python, ROS) and embedded sensing. Good analytical skills, ability to design experiments and prototypes, familiarity
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, Skills and Abilities: -ImageJ and Matlab. -Expertise in biosensors or protein design -Familiarity with genetic model organisms, microscopy, and other appropriate laboratory and/or technical equipment
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, or probabilistic reasoning. Proficiency in Python, C++, or MATLAB, with demonstrated ability to implement complex algorithms. Excellent written and oral communication skills. PREFERRED QUALIFICATIONS Experience with
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SD-26065 -POST-DOC IN METHOD DEVELOPMENT FOR HIGH RESOLUTION CHARACTERIZATION OF NOVEL SAFE AND S...
skills for data treatment (e.g. 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
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the following: Conduct research in the area of aging, balance, fall rehabilitation, app development, and biomechanics. Data Post-processing. Programming using MATLAB, Python, and Java/Kotlin (for Android
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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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- statistical techniques used in spatial data analysis - scientific programming, e.g. Matlab, R, Python or Julia - designing and/or conducting field measurement campaigns in atmospheric
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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