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university. Strong communication skills in the English language Passionate in teaching electrical/computer engineering concepts and skills to the students. Proficient in multiple programming languages
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organized, able to multitask, and able to work with limited supervision. The candidate will be involved in maintaining registration student records within our military portals, national clearing house as
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organized, able to multitask, and able to work with limited supervision. The candidate will be involved in maintaining registration student records within our military portals, national clearing house as
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, ELISPOT, flow cytometry, B and T cell receptor sequencing, and transcriptomics. You will develop a reproducible informatics and machine learning pipeline to process large volumes of sensitive trial data in
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process thanks to the use of Deep-Reinforcement Learning (DRL) to orchestrate the joint use of multiple attack surface tools, Large-Language Models (LLMs) to refine their configurations and graph-based
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tools. In this role, you will mainly focus on strengthening our computational pipeline: integrating multiple standalone machine‑learning predictors into a unified, multi‑objective framework capable
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interest in the following relevant fields: machine learning and cybersecurity. While robust infrastructures now exist for running cybersecurity exercises, the creation and management of training scenarios
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, including data from ELISA, PNA, ELISPOT, flow cytometry, B and T cell receptor sequencing, and transcriptomics. You will develop a reproducible informatics and machine learning pipeline to process large
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including multiple Franka Emika Panda, Boston Dynamics Spot, Hello Robot Stretch, and the Aalto autonomous car Alex. Opportunities to engage in projects with top national and international partners, both
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and spleen, and the effect of Parkinson’s gene mutations on cells in the blood. These analyses will be paired with other data derived from experiments. Methods to be used are largely computer-based and