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Field
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the system Integration between the different software modules and data acquisition devices 4. Testing and validation: Definition and execution of functional and integration tests Validation of the system in
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Center for Drug Evaluation and Research (CDER) | Southern Md Facility, Maryland | United States | 4 days ago
with FDA scientists, the participant will cultivate and maintain approximately 10-12 biosafety level 1 and level 2 bacteria species that will be subject to the novel ATP-bioluminescence testing methods
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Experimental structural testing and instrumentation Numerical modelling and simulation AI/data-driven methods for engineering applications Familiarity with engineering software such as ABAQUS, ETABS, MATLAB
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for biomedical). Characterization: SEM/EDS, XRD, DSC/TGA, tensile/impact testing. Software: Thermo-Calc, Materials Studio, Python/R for data analysis, CAD (SolidWorks). Processes: Experience with additive
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software scaffolding to support early deployment, and providing hands-on technical support to the animal research lab during in vivo testing. Responsibilities* Responsibilities also include coordinating day
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testing. Developing research experimentations for software application testing Developing scenarios for medical and field testing. Creating, planning and executing research studies. Developing project
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configurations to maximize energy harnessing and wave attenuation. 5. Experimental Testing Plan and conduct physical model tests in wave basin to validate computational models. Analyze experimental data to improve
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also participate in collaborative studies. The ideal candidate will hold a Ph.D. in bioinformatics or a related field, have a strong record of research productivity (e.g., publications and software) in
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software Perform data analysis, generate figures, and contribute to the interpretation and presentation of results Write scientific reports and peer-reviewed publications to disseminate research findings
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packages. Maintain high software engineering standards through rigorous testing, version control, clear documentation, and continuous improvement of development infrastructure (e.g., CI/CD, Docker, cloud