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Centar izvrsnosti MARBLE drustvo s ogranicenom odgovornoscu za istrazivanje i razvoj | Croatia | 5 days ago
are looking for an experienced Accountant to support financial and accounting processes in “CoE MARBLE – Centre of Excellence in Maritime Robotics and Technologies for Sustainable Blue Economy” (https
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modeling, and AI experts, as part of the international project M2 LInES (https://m2lines.github.io) . You can read about some of our recent work here: Dheeshjith et al. 2025 , Duncan et al. 2025 , Pedersen
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research directions while collaborating with a team composed of domain scientists, experts in climate physics and modeling, and AI, as part of the international project, M2 LInES https://m2lines.github.io
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improvement of processes, methods and tools to establish a stable, repeatable and measurable framework for the strategic plan 2023-2028. Salary & Compensation *UCLA provides a full pay range. Actual salary
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Lab, this position will work under the direction of Principal Investigator Dr. Pumpki Lei Su (https://profiles.utdallas.edu/lei.su) to support active research projects involving autistic children and
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simulation, usability evaluation, or human factors Familiarity with speech processing, speaker diarization, or ASR Knowledge of explainable AI methods (SHAP, LIME, attention visualisation) Exposure to clinical
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for employment verification via the Federal I-9 employment verification process. A list of acceptable documents can be seen here: https://www.uscis.gov/i-9-central/form-i-9-acceptable-documents
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, cryogenic instrumentation, high magnetic fields, 2D material sample preparation, and x-ray scattering. Good written and oral communication skills are required, as demonstrated through scientific publications
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contribute to an applied research project related to AI-assisted speech therapy in collaboration with hospital partners. Key Responsibilities: Model Development: Design, train, and fine-tune ASR and TTS models
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prevention of criminal activities and hate speech on social media. The system processes massive datasets to refine behavioural models and identify individual risk patterns. Supported by Natural