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programming languages (e.g., Python, shell scripting) or statistical analysis software (e.g., SPSS, SAS, R, MATLAB) is preferred. 6. Basic knowledge of statistics is preferred. 7. Electrical, mechanical
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tools, as well as server-side scripting (e.g., Python, PHP) and database systems (e.g., MySQL, SQL). Knowledge of digital accessibility standards, specifically WCAG 2.1 Level AA, and the ability to apply
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prototyping, including microprocessor-based systems and embedded devices. Strong programming skills, including 5 years of experience in Python and proficiency in PyTorch. Experience in signal processing and
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in machine learning and/or advanced analytical methods, experience working with complex or large-scale datasets, and strong programming skills (e.g., Python or R). You will be able to communicate
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software (e.g. ArcGIS, QGIS) and coding environments (e.g. Python or R), collaborating across LUMHR themes, and supporting interdisciplinary research activity. Teaching support may be required, up to a
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information about our institute here: https://www.fz-juelich.de/en/ias/ias-8 Your Job: Develop physics-aware simulations of growing cell populations, including their spatiotemporal manipulation in microfluidic
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/training. Preferred Qualifications: Demonstrated skills (or ability to learn quickly) in any of the following: programming (especially Python), data science, machine learning, and statistics. Previous
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. Additional Requirements Strong background in electrodynamics and excellent mathematical skills. Basic knowledge of computational electromagnetics. High proficiency in Python, MATLAB, Wolfram Mathematica
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at http://kaczorowski.lab.medicine.umich.edu or on Twitter @KaczorowskiLab. Responsibilities* The successful candidate will be able to plan, develop, execute, and analyze an independent research project in
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.) ● Strong computational background, including: o 2 years of experience in programming (e.g., Python, R, Julia, or similar); o Evidence of working with large-scale datasets (e.g., genomics, transcriptomics