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Field
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-performance or cloud-computing environments What we offer: Ambitious and varied tasks in a dynamic and international research environment State-of-the-art equipment Collaboration within the SEISCLIM project and
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, ThingsBoard, etc. Familiarity with Edge Computing architecture to process data locally before transferring it to the cloud. Implementation of pipelines to collect real-time data from IoT sensors. Expertise in
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(e.g., flow-based models, diffusion models), statistical physics, computational biology, or ML theory. Experience with cloud computing, computational structural biology and/or phylogenetics, and Nextflow
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development and high-performance computing. The division is currently in an expansive phase in new emerging areas such as cloud and fog computing, data science, and artificial intelligence, where it plays key
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frameworks and pipelines Familiarity with single-cell multi-omic data integration and network or pathway inference tools Experience working in high-performance computing or cloud environments Interest in
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structural geology or tectonics (especially crustal fault in South America) Familiarity with high-performance or cloud-computing environments What we offer: Ambitious and varied tasks in a dynamic and
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Starting Date 1 Apr 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer
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University HSA contributions Disability and life insurance Employee wellbeing program Financial counseling services Employee Assistance Program with eight sessions of counseling at no cost How To Apply
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2026 - 12:00 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within
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cloud computing; Latex Does this position have supervisory responsibilities? No Preferred Education/Experience PhD in computer science, physics, engineering, statistics or applied mathematics is required