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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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reproducible analysis pipelines (QIIME2, R, Python, or equivalent). Perform DNA extractions, barcoding, and library preparation for amplicon, and prepare metagenomic sequencing. Collaborate with a diverse team
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, or Python. A strong publication record is an advantage. What We Offer The appointment will commence as soon as possible on a temporary basis for 1 year, with the possibility of renewal subject to satisfactory
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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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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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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