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Engineering. Solid knowledge of AI/ML, embedded systems, and IoT architecture. Programming skills in Python, ROS, TensorFlow, or MATLAB. Strong interest in applied AI and autonomous systems development
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to genetic, genomic, and clinical data analysis are strongly encouraged to apply. Proficiency in programming languages such as Python or R (C/C++ is a plus). Prior experience working with genomic and other
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develop data flows and methods for utilizing the data in simulation models. We are particularly keen to appoint a data-savvy researcher with strong Python and SQL skills to lead data integration, curation
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exhaustive list of all job duties performed by the personnel so classified. Management reserves the right to revise or amend duties at any time. Required Qualifications Education: Ph.D., M.D. Or Equivalent
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scientific programming (e.g., Fortran/C/C++/Python) and Linux is an advantage Experience with data–model comparisons (e.g., Juno, Galileo) is desirable possess a good command of written and spoken English
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-performance computing (HPC) environments and large-scale numerical codes for space plasmas; proficiency with scientific programming (e.g., Fortran/C/C++/Python) and Linux is an advantage Experience with data
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analysis with common programming languages such as Matlab or Python Hardware control via LabView, Matlab, Python or similar Research project management and student supervision We offer A highly
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. Physical Review Research, 2, 043217, 2020). You will use our mature simulation code to carry out simulations. Knowledge of a python framework for machine learning is essential (e.g. TensorFlow), as is
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, experience with plant molecular biology and biochemistry such as western blots, immunoprecipitation, protein kinase assays, plant immune assays; data analysis using R and Python, multivariate statistics
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experience and interests, a full CV with a publication list, names of at least three references, and Ph.D. completion date. Review of applications will be on a rolling basis. The position will remain open