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Field
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mathematical modelling tools. Excellent knowledge of programming languages such as R, Python, Julia, etc. Familiarity with AI algorithms and Machine Learning Fluent oral and written communication skills in
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Patient-derived organoid culture and manipulation Flow cytometry or advanced immune-profiling platforms Single-cell or spatial omics Computational proficiency--familiarity with R/Python for analysis of bulk
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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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. Experience in coding with Python, MATLAB, Julia, C/C++, or a similar program language. Experience with biological data analysis or simulations of dynamics. Knowledge of network science and/or complexity
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, applied mathematics, statistical physics, biology, or a related field. Reasonable communication skills. Experience in coding with Python, MATLAB, Julia, C/C++, or a similar program language. Experience with
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). Hands-on experience with computational materials methods (e.g., DFT, molecular dynamics, phase-field simulations). Proficiency in Python, TensorFlow/PyTorch, and scientific computing. Experience in
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precipitation research. A strong record of relevant peer-reviewed publications and data products. Proficiency in quantitative analysis using Python, MATLAB, or R; experience with hydrologic modeling tools is also
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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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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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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