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high-performance computing (HPC), containerization, workflow orchestration (e.g. nextflow), and next-generation file formats (e.g. Zarr). Your work will primarily be conducted in Python. You will also
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of hands-on experience with programming languages like Python/Java. 3+ years of experience building high-throughput and scalable RESTful APIs using Python frameworks (such as Flask, FastAPI, etc) 3+ years
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Research FieldEngineering » OtherEducation LevelMaster Degree or equivalent Skills/Qualifications Nastran/Patran, Abaqus y Hyperworks CATIA Matlab (Signal Processing) Python Specific Requirements Se valorará
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years experience in Statistics/Computer Science/Bioinformatics/Data Specification/ Data Science. Competence with Python for database management and statistical analyses. Experience with using Jupyter
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, from initial target geometry creation to pre-processing, data analysis, scientific visualization, and final data reduction. Developing custom post-processing scripts in Python for detailed blast wave
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, Bioinformatics, Computer Science, or similar Knowledge in bioinformatic analysis tools, Linux, Bash scripting and at least one of the following languages: Python, R Familiarity with plant transcriptomics
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using Docker and Python for automated ingestion, transformation, and delivery of data. Maintains data warehousing solutions, including DataVault 2.0, to ensure efficient, scalable data storage and
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degree in Information Systems, Computer Science or related field plus at least 1 year of relevant experience to include: Experience in Python Developing web applications using modern open-source JavaScript
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Power BI Programming: R, Python, and/or SAS for Statistics Excellent communication skills Demonstrated successful experience working directly with people from diverse backgrounds, including cultural
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instrumentation, measurement systems, and data acquisition Good skills in signal processing and image processing Proficiency in at least one scientific programming environment (Python or MATLAB) Basic knowledge