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, motivated and able to work independently. Experience and willingness to supervise and train other team members and colleagues. Also desirable: Experience in cloud environments (e.g., Microsoft Azure
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people assigned to this classification. They are not intended to be construed as an exhaustive list of all job duties performed by the personnel so classified. Management reserves the right to revise
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people assigned to this classification. They are not intended to be construed as an exhaustive list of all job duties performed by the personnel so classified. Management reserves the right to revise
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of statistical analyses and modelling. Experience in handling and analyzing large datasets. Experience in employing high performance and cloud computing services. Knowledge in GIS. Knowledge on obtaining
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of statistical analyses and modelling. Experience in handling and analyzing large datasets. Experience in employing high performance and cloud computing services. Knowledge in GIS. Knowledge on obtaining
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terrain dynamics. Familiarity with cloud computing platforms (e.g., AWS, Azure) and advanced analytics. Knowledge of causal inference or complex systems theory is a plus. To Apply: Any questions can be
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. Experience with Linux/Unix environments, cloud computing, and version control systems (e.g., Git). Additional Information: Responsibilities: Perform comprehensive analyses of microbiome sequencing data (e.g
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(edge to cloud), European Data spaces, SIMPL middleware, Interoperability Frameworks (e.g. Minimum Interoperability Mechanisms (MIMs), etc) If you additionally like to create results based on knowledge
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++ and Python programming languages. Experience in open source projects, GPU programming, distributed computing and cloud computing are considered to be strong assets. The position of Research Fellow at
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interface is required. Experience with one or more of the following is desired: large-scale genomic analyses, variant calling, cloud computing, machine learning methods, and or statistical genetics. Job