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This field encompasses Computer Science, Data Science, Artificial Intelligence, and related interdisciplinary areas, with a focus on computing technologies, software development, algorithm design
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via bitbucket). Backup code on bitbucket and oversee the revision of the code to integrate with other algorithms. Algorithm development initially will involve solving problems such as: (1) base calling
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of Northeastern University's Experiential AI Institute, will lead the development and delivery of AI solutions across diverse industries. The role involves building end-to-end AI pipelines—from business problem
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monitoring. The visiting scholar intern will contribute to developing AI-enabled systems for plant health assessment, disease detection, and automated material handling. Major duties include: Design and
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will be expected to develop a nationally recognized, externally funded research program that is collaborative, interdisciplinary, and self-sustaining. The program should address critical challenges
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transport, supply chain and logistics modelling to contribute to the development and use of the MILES (Multimodal Integrated Logistics for Simulation) and MATRA (Multi-Agent Transport Resilience and
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to the development of novel indoor localization and tracking methods, algorithms, and systems ? Evaluating the performance of such methods, algorithms, and systems via modeling and simulation ? Performance evaluation
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responsibilities will span all stages of research, including collecting data of in both tabular and spatial formats, developing algorithms that clean and organize data, conducting statistical analyses, running
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microcontrollers to coordinate hardware/software systems. Adapt existing machine vision algorithms to extract fly behaviors in real time and offline. Develop computational tools and analysis pipelines for processing
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, approximate length 2-4 pages; short-listed candidates will be asked to prepare full-length portfolios at a later stage according to Aalto University’s instructions: https://www.aalto.fi/sites/default/files/2024