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. You will develop and deploy a self-supervised pre-training pipeline for learning from a large-scale microscopy dataset. You will work with expert computational scientists, data engineers, and
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is involved in the DUNE project with a broad range of responsibilities in detector construction, modelling and software development. This PhD project will focus on the development of a methodology for
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also have conceptual, empirical, or ethical consequences. Given the ubiquitous role of lineages in biology (central to development, regeneration, stem cell biology, cancer biology, and more), a clearer
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a project linked to the “Helmholtz School for Data Science in Life, Earth and Energy (HDS-LEE)”. Your Job: Develop physics-aware simulations of growing cell populations, including their spatiotemporal
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for the construction of the 6G telco cloud, both at the architecture and algorithmic levels. This includes scalable telco clouds, flexible functional splits, native trustworthiness, trustworthy AIML, decentralized
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approaches and validation procedures behave as the data-generating process departs from idealized conditions and as dimensionality, heterogeneity, and structural complexity increase. The project will develop a
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objects by building filtering pipelines in coordination with frontend Javascript/React.js interfaces. Job Duties 80%: Research in the development and application of real time data science algorithms
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the educational project of a higher education institution, developed in association or cooperation with one or more R&D units. Note: In the case of masters who are enrolled in non-academic degree courses
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information about equivalencies: https://hr.uky.edu/employment/working-uk/equivalencies Required Related Experience 3 yrs Required License/Registration/Certification Licensed Pharmacist plus Epic Certification
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Science Objectives: The goal of this activity is to develop and validate methods for analyzing large data sets—Big Data Analytics—applied to the digital twin of hydroponic crops. Extensive amounts