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-oriented background - You have a genuine interest in signal processing and machine learning methodology and algorithms - You obtained good grades in courses related to the topics relevant to this PhD
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*• Experience in Python or another programming language (projects, GitHub repositories, courses, scientific use).• Training or experience in machine learning and data science applied to environmental or energy
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engineering, machine learning, molecular design, and sustainability, helping to create smarter ways of identifying promising sorbents for electrochemical CO2 capture. Over the course of the project
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | about 21 hours ago
data analysis methods to study biological memory circuits and their applications to machine learning. Building on recent work from the Fiete Lab, the role focuses on identifying principles of biological
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and professional success of military officers pursuing graduate degrees at Purdue. PMRI is the largest population of military officers pursuing graduate degrees at any university worldwide (see https
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17 Mar 2026 Job Information Organisation/Company cnrs Department lem3 Research Field Engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 30 Jun
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of senior researchers, the individual will help apply machine learning methods, with a focus on reinforcement learning, to mathematical problem solving. The role emphasizes hands-on experimentation
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staff position within a Research Infrastructure? No Offer Description The general objective of this project based at the State University of Campinas's Faculty of Electrical and Computer Engineering (FEEC
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involved in related research projects. Collaborate with research partners and support laboratory activities. Job Requirements: PhD in Materials Science and Engineering, Metallurgy, Mechanical Engineering, or
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Requirements Student enrolled in a PhD programme in Electrical and Computer Engineering Selection process Contest Evaluation Method(s) Curricular evaluation weighted to 50% on a scale of 20 points with a minimum