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semantic analysis) to detect and categorise accusations of political disinformation in large corpora of parliamentary debates across 20 democracies. You will build a relational dataset that systematically
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in chemical engineering and PhD in a related field • Hands-on experience in thermochemical processes such as pyrolysis or solvolysis • Excellent skills in planning and executing experimental
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Cornell's Physics department, and in the larger Cornell community. Our group has broad interests in hard and soft condensed matter physics, including (but not limited to): biophysics, cold atom physics
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conference presentations. provide informal mentoring and guidance to junior team members, including undergraduate and PhD students foster a positive and inclusive workplace culture that values diversity
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is led by Professor Mauro Giacca and comprises over 65 clinical and non-clinical academic groups, hosting 400 personnel and 110 PhD students. Our community of world-renowned researchers and educators
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of tomorrow and creating novel solutions to major global challenges. Our community is made up of 120 nationalities, 14 000 students, 400 professors and close to 5000 faculty and staff working on our dynamic
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smectite, sepiolite, and layered double hydroxide. -Summarize the MD data to find the optimal mineralogy properties need to maximize the binding efficiencies of the minerals for the toxins. -Summarize
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to this project. You will work closely together with two PhD students, one focusing on motion planning and one focusing on trajectory prediction. You will also coordinate our efforts towards a demonstrator with a
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Acceleration who has: strong experience in FPGA design, machine learning or a related field in the case of the Postdoctoral Research Associate, a PhD (or near completion) in FPGA design, machine learning or a
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the Department of Computer Science at Aalto University in Finland. You will be joining a larger group of researchers working on similar topics. The department has a strong community on related topics: research