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Field
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skills and attributes for success: A PhD (or equivalent) in a relevant subject (Artificial Intelligence, or Data Science), with training or skills relevant to the project (Python-based data collection and
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related field. Extensive experience with R and Python, and prior experience in computational biology are required. The candidate must have excellent written and verbal communication skills, the ability
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of quantitative or statistical analysis experience 5+ years of experience with SQL; 5+ years of experience with Python and/or R (or equivalent languages); Experience with advanced approaches to statistics and
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and Competencies: Proficiency in CAD software, rapid prototyping and application of autopilot flight control. Proficiency in Python, C++, and MATLAB/Simulink; familiarity with robotics middleware (e.g
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or equivalent experience in an appropriate discipline A background in numerical ice-sheet, glacier or fracture modelling, or equivalent experience Robust experience with computer coding (e.g., Python, C++) Track
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the state of Indiana. Basic Qualifications Ph.D. or terminal degree in biomedical engineering or related field. Experience in Python code, Matlab, and LabChart. Knowledge of cardiovascular physiology
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) proficiency in programming languages such as Perl, C, or Python; 2) experience with bioinformatics tools and platforms, such as GATK, BLAST, deepvariant, samtools, etc.; 3) familiarity with statistical analysis
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frameworks commonly used in ML research, such as Python, PyTorch, TensorFlow, and mobile development environments (e.g., Android Studio or Swift/Xcode). Demonstrated ability to conduct independent research, as
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experience with coding in R, Matlab and/or Python, and already adapt to using the UNIX command line and executing analyses using high performance computing cluster. Preferred qualifications: Prior experience
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, and machine learning. Expert skills with at least one data analysis environment (e.g., R, Stata or SAS). Skills in machine learning and programming proficiency in languages like JavaScript and Python