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research project “Is the brain network involved in sentence comprehension replicable and robust?”, led by Dr. Jurriaan Witteman. The project will investigate the neural mechanisms underlying sentence-level
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effectiveness under controlled laboratory conditions using an optical experimental platform at the Paris Observatory. This step is crucial for ensuring the algorithm's robustness and reliability. Finally, the
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; Study at LTH . Subject and project description The aim of this project is to develop novel methods for controlling hearing assistive devices using electroencephalography (EEG) data, and behavioural
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of the MAVRICS team, specialized in collaborative robotics, human–robot interaction, and adaptive control. (https://www.lgp.enit.fr/fr/composition-des-equipes-2/departement-scient… ). Instruction to apply: Please
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regulatory agencies. Interpret and implement new accounting standards, legislation, and regulatory requirements. Strengthen and maintain a robust internal control environment and ensure compliance with
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address key challenges within these processes, constructing robust models and simulations that deepen the understanding of the underlying physics involved. The ultimate goal is to create predictive, physics
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embeddings. Implements retrieval for search and assistance, writing prompts and evaluation tests, adding guardrails and privacy controls, and monitors quality and performance. Minimum Education and Experience
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, internal controls, and policy applications. Support onboarding and training for financial systems. Provide guidance on ETR, AP, corporate card policies, Buy@Duke, and SAP R/3. Other Duties (5%) Perform other
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to measure neutralizing antibody responses in cell lines to support HIV and COVID-19 vaccine development. Responsibilities include analyzing data using quality control criteria, accurately reporting results
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community health workers to identify mosquito species in real time, enabling faster vector surveillance and improved malaria control strategies. This role will serve as the technical lead for computer vision