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particular focus on explainability and trust in automated decision-making. You conduct independent and innovative scientific research within the outlined research area. You assist in the supervision of PhD
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. Collaborate with interdisciplinary research teams within the department and with external partners to enhance research outcomes. Candidate Criteria PhD degree in Chemistry, with a specialization in inorganic
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commitment to integrating AI in their scholarship and instruction and may come from any discipline. A PhD is expected prior to the start date. The Postdoctoral Scholar will serve as one of the Initiative’s AI
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. Applicants should meet the following qualifications and possess relevant expertise: A PhD in Physics, Applied Physics, Electrical Engineering, or a closely related field, with a strong experimental research
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primarily based at NYU Abu Dhabi. The researcher will report directly to Dr. Farah Shamout and work in close collaboration with other researchers, PhD students, and undergraduate research assistants
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Luxembourg Institute of Science and Technology (LIST) | Luxembourg, | Luxembourg | about 2 months ago
in their decisions and businesses in their strategies. Do you want to know more about LIST? Check our website: https://www.list.lu/ How will you contribute? As post-doctoral researcher, you will work
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. Collaborate with partners at EPFL and Hamburg University of Technology. Contribute to the preparation of research proposals and future funding initiatives. Supervise PhD, Master’s and Bachelor’s students
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the players involved in hearing health to provide the best possible response to the medical, societal and educational needs raised by hearing disorders. Where to apply Website https://emploi.cnrs.fr/Offres/CDD
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presentations, as well as actively initiating and participating in meetings with academic and industry partners. The postdoctoral candidate shall also be committed to contribute to the supervision of (PhD
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small-scale models via distillation from larger models, including through the use of synthetic data. This in turn raises interesting questions about the robustness of the resulting models, their ability