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of methodologies for the dynamic analysis of the energy, economic, and environmental performance of complex energy systems, with particular reference to transportation systems and related infrastructures. The post
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Sorbonne Université SIS (Sciences, Ingénierie, Santé) | Sophia Antipolis, Provence Alpes Cote d Azur | France | about 20 hours ago
analysis. The goal of this thesis is to advance causal AI for wireless networks by developing statistically reliable causal inference tools grounded in recent advances in simulation-aided inference and model
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Job Purpose The successful candidate will support the health economics components of two large NIHR and UKRI projects. They will have a strong background in quantitative analysis, ideally with
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to sponsoring agencies; conceptualizes, designs and executes complex laboratory experiments; plans and executes advanced molecular and cellular techniques; plans, coordinates and oversees processing and analysis
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of novel ligands and conjugates for the complexation of alpha emitters (NMR, MS, HPLC) Establishment of radiolabeling protocols using clinically relevant alpha emitters, including detailed stability studies
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-of-cellular-metabolism/ The position is for you if: …you have strong data analysis skills and enjoy working with large, complex datasets (e.g., single-cell, spatial, imaging-based or other omics data) …you have
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and regions involved in protein interactions. In recent years, the field has moved from the analysis of purified complexes to proteome-wide studies thanks to fundamental instrumental and bioinformatic
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possess. PhD Position in Behavioural Decision-Making in Supply Chains Our goal: To understand how decision-makers infer others’ knowledge in complex operational environments, and how these inferences shape
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the analysis of more complex collaborative projects. Located in Boston and the surrounding communities, Dana-Farber Cancer Institute is a leader in life changing breakthroughs in cancer research and
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to staff position within a Research Infrastructure? No Offer Description Accurate analysis and interpretation of meteorological data obtained through radar are fundamental for weather forecasting and