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Field
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computational modeling (e.g., Abaqus, ANSYS, FEBio, COMSOL, or similar). * Programming and data analysis skills (MATLAB, Python, etc.). * Strong communication skills and ability to work in a team-oriented
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Sensing, or related field Experience in atmospheric modeling, satellite remote sensing, or machine learning Programming skills (Python or R) Strong publication record
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expect a candidate with a strong background in machine learning or statistics. The candidate must also be proficient in high-level languages like Python. Familiarity with single-cell date and experience
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, COMSOL, or similar). • Programming and data analysis skills (MATLAB, Python, etc.). • Strong communication skills and ability to work in a team-oriented environment. Preferred
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strong programming skills in Python, and experience in at least one of the following areas: virtual reality development, machine learning, analyzing and modeling complex data, motion capture, character
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the ability to perform reasoning and generate novel insights from the represented data. Candidates should be proficient in Python, and ideally have some expertise in one or more of the following areas: digital
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Eligibility criteria - Finite element numerical simulation using ANSYS APDL software - Hyperelastic biomechanical modeling - Python programming - Public speaking - Integration into a research team comprising
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programming language, such as R or Python Experience with atmospheric circulation classifications Active knowledge of the English language Specific Requirements Job description: Development of a methodology for
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sensing. are essential as well as strong computing skills, including the knowledge of UNIX/Linux, Fortran, Python, or other high-level languages. The post is full time and fixed term for 18 months
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studying neural circuits Familiarity with programming languages (e.g. R, Python) and an ability to work with large datasets Strong record of peer-reviewed publications Ability to independently design and