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training a machine learning algorithm on Greenland satellite – model surface melt differences and characterize what atmospheric forcings are most strongly associated with meltwater production biases using
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use of data and algorithms. Excellent written and verbal communication skills and ability to communicate effectively with a variety of different stakeholders, e.g., academics, business executives
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. This work involves developing novel techniques, algorithms, and software packages that enable more robust and scalable approaches to cybersecurity using AI-based techniques. In addition to technical
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, molecular properties, and pathological images. Strong knowledge and experience in data science algorithms, methods, and analysis techniques. Experience in programming using Python and R languages and working
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digital communication protocols, and applying advanced Digital Signal Processing (DSP) and Machine Learning algorithms on embedded systems. The Research Assistant 2 will report to the McGill Principal
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. Responsibilities include (but not limited to): Lead the development of the NC-ARPES technique (hardware, post-processing algorithm, theory, data interpretation) Propose and perform new TR-ARPES studies of quantum
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-capacitors, additive manufacturing, and energy technologies, in addition to the aforementioned. The department is an exciting environment, where you will be exposed to many different fields and have your
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power engineering. In condition monitoring non-invasive data is analyzed through machine learning algorithms or by statistical methods. The aim of predictive analysis is to use non-invasive methods
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the advances in battery technology, as it enables more precise monitoring, control, and optimization of battery performance throughout its lifecycle. By incorporating digital tools such as algorithms, and
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a specific water balance component than others. This can make the structure inadequate to be directly transferred to other regions with different physiographic contexts and hydroclimatic regimes