60 machine-learning-phd "Itä Suomen yliopisto" PhD scholarships at Chalmers University of Technology
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This PhD position offers a unique opportunity to dive into the exciting area of reinforcement learning within the broader landscape of AI and machine learning. As a candidate, you'll have the chance
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--1-12937 Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you driven by the challenge of advancing the boundaries of machine learning and computer vision
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Are you driven by the challenge of advancing the boundaries of machine learning and computer vision? Join the Computer Vision Group as a PhD student, and be at the forefront of groundbreaking
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Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD student position in Formal Verification of Autonomous Cyber-Physical Systems Autonomous cyber-physical
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manipulation as well as locomanipulation tasks using mobile robots with humanoid form factor. The research of the PhD student will touch upon various topics multi-body dynamics, optimal control theory, machine
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interaction between the machine and the rock particles, which is where the energy use is happening. The PhD student will be part of a research group Chalmers Rock Processing Systems which has a wide
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the structural, electronic (and photoluminescent), and dynamical properties of the 2D HOIPs, to compare with the experiments. In particular, machine learning force field (MLFF) will be exploited to study finite
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together with in-house methods for geometry generation to study adaptive cooling and variable compression. Major responsibilities Your major responsibilities as a PhD student is to pursue your own doctoral
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chemistry. This PhD project aims to develop an advanced terahertz multi-pixel heterodyne receiver using SIS and HEB technologies. The focus is on integrating broadband capabilities within the receiver design
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improving atmospheric monitoring for understanding star formation and atmospheric chemistry. This PhD project aims to develop an advanced terahertz multi-pixel heterodyne receiver using SIS and HEB