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Field
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matrices only model networks with one kind of objects or relations between the objects. Many real world networks have a multidimensional nature such as networks that contain multiple connections
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storage, and organic optoelectronics intelligent and advanced polymers and materials. Project description: The Lithium-ion battery comprises multiple individual units known as "cells." Any deterioration
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and dynamics, which we also plan to investigate using AI-based pattern recognition algorithms. In this project, the PhD student will: Run the MIT General Circulation Model (MITgcm) together
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for real online scenarios and to study formal verification methods. The program will involve the study of machine learning tools and the development of simulation systems capable of integrating multiple data
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endeavour. You will work on LCA and waste heat optimisation problems in European and national projects, being responsible for the LCA calculations and optimisation methods & algorithm. You will contribute
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institutions from academia and industry in multiple research projects. What you will do Development & application of innovative data analytical algorithms in medcine wieth specific focus on digital device
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-cell and spatial-omics research. The ideal fellow will be interested in developing and applying novel computational algorithms to novel datasets generated in the setting of non-neoplastic and neoplastic
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to support the growth of your lab, including EU programs and strategic industry partnerships. Project Management: Managing multiple projects simultaneously, establishing schedules, and resolving bottlenecks
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optimize algorithms for analyzing behavior data. Build or implement existing scripts to temporally align data across multiple modalities. Coordinate efforts with DNB researchers and established vendors (Med
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enabling precise and rapid identification of adulteration. Spectral techniques generate unique chemical fingerprints of food items, which machine learning algorithms analyse to detect inconsistencies and