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theory. Proficiency in Python for rapid prototyping, data analysis, and potentially using libraries for network science (NetworkX) or agent-based modelling. Flexibility to travel and engage fully in
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the transition from long, complex, internationally dispersed supply networks to more regionally embedded structures influences the performance, stability and strategic orientation of agri food systems
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deep learning, on the topic “Analysis and Reconstruction of Digital Data Fragments”. This internship is intended for students at M2 level, or in the final year of an engineering school, interested in a
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participation in several research cruises per year (approx. two weeks each) in the North and Baltic Sea Taxonomic identification and quantitative analysis of marine benthic infauna and epifauna communities
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supports cross functional large-scale organization-wide projects/initiatives for the Medical Network, in collaboration with senior leadership. The role is responsible for guiding and supporting
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simulations. To elucidate the amplification mechanisms underlying the experimentally observed transition, the authors conducted a resolvent analysis, providing new insights into the subcritical amplification
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; providing data analytic support; and conducting research to inform Illinois Medicaid policymaking. The role necessitates advanced knowledge and skills in data science, programming, and statistical analysis
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and .NET Framework. Possesses or is pursuing an AWS and/or Azure certification. Experience in Database Administration (DBA) skills for managing MS SQL Server, Data Analysis, Modeling and Profiling
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to reach net zero. Project Description Both carbon removal technologies (a.k.a. negative emission technologies) and hydrogen (especially green) will play a key role towards achieving the net zero commitment
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rapidly through fault networks and promote earthquake triggering at significant distances from the injection zone. Both seismic and aseismic slip processes are also responsible for changes in permeability