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Field
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will join Andrej Prsa’s research team and work on the PHOEBE code , advancing our understanding of the processes in contact binary stars. In parallel, the applicant will be given an opportunity to teach
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to three years of experience in a fast-paced outpatient clinic setting Knowledge of medical service coding Familiarity with medical terminology One to three years of experience in prior authorizations
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to research, work on, or have access to critical infrastructure as defined in Section 117.001(2) of the Texas Business and Commerce Code, the ability to maintain the security or integrity of the critical
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related tasks. Responsibilities: 1) Biomedical data analysis (40%): Statistical analysis of biomedical data by using existing methods and developing custom code scripts. 2) Bioinformatics method development
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) software (e.g., COMSOL, ANSYS, or custom FEM codes) Proficiency in one or more programming languages (e.g., MATLAB, Python, C++, Julia). Strong written and oral communication skills Ability to work
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. Training will be provided beforehand. Your qualifications should include: Ph.D. degree in biomedical engineering, electrical engineering with a focus on MRI pulse sequence development Excellent coding skills
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of the research group and others as described in the Duke University School of Medicine Honor Code of Professional Conduct and other relevant conduct policies pertaining to other schools at Duke University
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clinical research. Expert skills in statistical analysis, i.e.. R Studio, SAS along with experience in coding, i.e. MATLAP, Python, etc. Salary Range $61,008+ depending on NIH level Working Conditions May
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Organization U.S. Department of Energy (DOE) Reference Code DOE-OREM-ESPSE-24 How to Apply A complete application consists of: An application Transcripts A current resume including academic history
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basic statistical analyses. Experience coding with Python. The ideal candidate should possess the following qualities: Strong initiative, self-motivation, and capacity for creative problem solving. Strong