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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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-microenvironment-models-and-their-use-to… Where to apply Website https://www.ceitec.eu/lymphoid-microenvironment-models-and-their-use-to-study-t… Requirements Additional Information Work Location(s) Number of offers
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Description We are recruiting a contract researcher to join a project involving the development of predictive models for simulating material forming processes, within the mechanical engineering department
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biological applications. You will design and implement models ranging from molecular to process scales, develop model-predictive control and optimization strategies, run high-performance numerical experiments
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ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI SCIENZE MEDICHE VETERINARIE | Italy | 3 days ago
1.2, the work will establish a murine AD-diabetes comorbidity model and generate metabolic and cognitive datasets. Objectives include: establishing diabetic models (STZ and HF diet), serial glucose
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CORE A*/A conference paper. We invite applications for a postdoctoral position focused on the development of predictive models for clinical outcomes following Deep Brain Stimulation (DBS) in Parkinson’s
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at the University of Minnesota to work in the Soft Materials Mechanics Laboratory, led by Prof. Kshitiz Upadhyay. The postdoctoral researcher will contribute to research focused on developing constitutive models
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& Budget Strategy Institutional Analytics & Decision Support Policy, Planning & State Operations University Business Services The Modeler supports the University’s strategic, financial, and operational
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School graduates over a thousand students who are ready to take on great ambitions and challenges. For more details, please view: https://www.ntu.edu.sg/eee We are looking for a talented and responsible
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Description One or possibly two postdoctoral positions to work on the theory of generative AI—particularly diffusion models and their generalizations—combining methods rooted in statistical physics and