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vegetation dynamics, carbon cycle processes, or climate–biosphere interactions. • Familiarity with benchmarking frameworks for ecosystem and climate models. Website for additional job details https
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to brainvascular pathology, using integrated in vitro and in vivo models. Responsibilities * Study interactions between endothelial dysfunction, mitochondrial stress, and inflammatory signaling
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to recruit a research assistant to develop AI-enabled healthcare applications. Key Responsibilities: Develop and fine-tune computer-vision models, instance segmentation, and retrieval-based estimation from
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fisheries modelling, data analysis, and stock assessment to generate robust evidence that informs management decisions. Working within the IMAS Fisheries and Aquaculture Modelling Program, the position
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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