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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 16 days ago
deployment, · knowledge of GPU computing and large-scale training, · experience working in an HPC environment, · experience with data annotation pipelines or synthetic data generation. We offer: · work in a
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. Specific Requirements Knowledge: Conceptual abstraction. Statistics, optimization and modeling of large-scale problems. Professional Experience: Experience in functions similar to those described will be
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infinities. This includes the standard model of cosmology (e.g. physics of the early Universe, large scale-structures or gravitational waves) and the standard model of particle physics (e.g. QCD and heavy-ion
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the day) to accommodate your needs. Working remotely is possible for up to 1 day/week. About the Role The post is funded for 3 years and is based in the Big Data Institute, Old Road Campus, Oxford
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. This honor, bestowed to only 311 public institutions nationwide, acknowledges th...e university's significant commitment to service. Sam Houston State University has a small town feel with large scale
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operational lead for high-profile, large-scale, or complex campus events requiring cross-departmental coordination. Conducts post-event operational reviews when necessary to identify service improvements and
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storage at solid-liquid interfaces (i.e., catalyst-molecule) using advanced analytic methodologies (including large-scale research facilities). The current project deals with establishing operando analytic
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punctuation errors. (Required) Demonstrated skill in coordinating large scale, high-profile, complex conferences and events. (Required) Working knowledge to operate a PC in a Windows environment, organize the
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testing approaches, including some that had specifically been designed for the sex chromosomes. PangenomiX will exploit large-scale long and short read sequencing data from two cattle populations
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stranding data. This role is responsible for scoping an online, web-accessed database that allows for the collation and assessment of data at the temporal-spatial scales required to support the project’s