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related field. A PhD or working towards one in Computer Science or a closely related discipline, or substantial relevant industrial/commercial experience. Experience teaching university-level courses in
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areas: programming, database management, systems analysis and design, data visualization or reporting, ERP, machine learning, or cloud computing. would be strongly desired. A minimum of one-year
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multitasking activities of biostatistical programming and data analysis, randomization, data management and cloud infrastructure for storage/computing service, and statistical software trainings
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shell scripting, cluster or cloud computing infrastructure (AWS, GCP) is desirable. • Experience working with mass spectrometry-based proteomics data and familiarity with major protein databases (e.g
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to grant proposals, and present findings at international conferences. What you bring: PhD (or near completion) in Bioinformatics, Computational Biology, Data Science, Statistical Genomics, or related field
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cancer genomics and functional interpretation of genetic variants Proficiency in Python, R, or other bioinformatics languages Knowledge of cloud computing, and high-performance computing (HPC) environments
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specialization in Education and Research: The professor will develop research activities in several aspects of computer science, including but not limited to algorithms, databases, cloud computing, machine
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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Your job As a Platform Engineer, you will be part of an ambitious and technically strong team that is responsible for developing and maintaining the existing Internal Cloud Services (on-premise IaaS
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through REST APIs, microservices architectures, containerization (Docker), and deployment within cloud environments (AWS, Azure, GCP) or high-performance computing (HPC) systems. Collaboration and