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-dependent uncertainty, convex optimization, and combinatorial optimization. The postdoctoral researcher will have the opportunity to develop new mathematical models, reformulation techniques, and algorithms
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of Virginia (UVA) School of Medicine is seeking to fill Postdoctoral Researcher positions in computational biology and machine learning. The lab develops modern machine learning, generative modeling, and
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predictive models for benthic and pelagic fisheries and aquaculture site selection. The role is supported by a grant-funded project and includes opportunities for publishing, presenting, and mentoring. This is
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We are seeking a motivated Postdoctoral Fellow to support studies investigating the neural mechanisms underlying corneal pain and dry eye disease. The laboratory uses rodent models
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analytical models and systems and provides solutions and analyses to support strategic and tactical decisions. Adheres to University and unit-level policies and procedures and safeguards University assets
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computational background in statistical modeling, reproducible workflows, and large-scale data processing Experience with water quality, nutrient, sediment, watershed, or hydrologic datasets Experience developing
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with computed tomography and digital subtraction angiography. • Familiarity with reinforcement learning methods. • Experience developing and applying statistical models to research datasets. • Experience
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biological validations of patterns identified in both cell cultures and tests on animal models. Where to apply Website https://gestiononline.bioef.eus/ConvocatoriasPropiasBiogipuzkoa/es/Convocatoria
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of applying a wide variety of scientific principles and theories. 4. Maintains substantial knowledge of state-of-the-art principles and theories. 5. Develops advanced analytical models and systems and provides
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methylation, chromatin accessibility), and clinical data. · Develop, apply, and benchmark machine learning and statistical models for subtype discovery, classification, and outcome prediction. · Contribute