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Contractor. Required Experience Data Science / Enterprise AI Competencies · Experience with Python and data science programming using tools such as NumPy, Pandas, scikit-learn, PyTorch, and Matplotlib
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with high-level programming languages such as Python, and experience with Linux cluster computing environment is strongly preferred. Candidates should hold a PhD or equivalent doctoral degree in
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knowledge of computational bioinformatics methods for analyses of large scale transcriptomic and proteomic data. Knowledge of coding, specifically Python and R packages for bioinformatics computational
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thinking/analytical skills • A Master’s degree or PhD in economics or a related field • Evidence of teaching effectiveness Preferred qualifications include experience with data analysis using Python and
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-signal circuit design, FPGA firmware (VHDL/Verilog), embedded C, and Python/MATLAB. Experience with camera/image sensors, optical systems (free-space or fiber), and SiPM/APD detectors is a strong plus
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, psychology, or related field Strong experience with fMRI data acquisition and analysis Proficiency in neuroimaging analysis software (FSL, SPM, AFNI) and programming languages (Python, MATLAB, or R
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active learning/Bayesian optimization. * Strong programming capabilities in Python (PyTorch, standard data science stack). 3) Robotics & Systems Biology Side: * Experience or familiarity with lab
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Python/Google Colab examples. Familiarity with learning management systems (LMS) and online collaboration platforms. Experience with Salesforce or similar CRM systems. We are an equal opportunity
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environment, preferably Bash and Python. Experience in multiple languages such as Perl or C is a plus. Ability to work with configuration management systems (e.g., Ansible, Puppet, Chef) and revision
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. or comparable work experience. 5+ years of applicable work experience. Proficiency in full-stack AI development - front-end and back-end (e.g., Python, React, Vue, Node.js, Typescript, API's