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computer vision, including experience with semantic segmentation, multiple object detection, classification, or vegetation/weed identification using frameworks such as PyTorch or TensorFlow. Proven ability
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methodologies, contribute to high-quality publications, and foster partnerships across academia and industry. Assist in designing and implementing computational approaches integrating chemical, biological, and
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acinar to ductal metaplasia. General Responsibilities As a Researcher Senior, you will have expanded responsibilities, overseeing complex or multiple research projects and providing strategic direction
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the role of hyperglycosylated extracellular matrix (ECM) in the tumor growth and its role in promoting EMT. The selected candidate will perform experiments in vitro and in vivo, using high-throughput
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multiple sources and different formats is required. Likewise, work on the compilation of databases of environmental and social exposures is requested. Furthermore, it is necessary to perform statistical
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and Dr. Shang-Min Tsai, respectively. The initial appointment for both positions is for two years, with flexible start date in 2026 and possible extension for two more years depending on performance
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research, integrated teaching programs and high-quality clinical services. Our footprint reaches out from our world class teaching hospital at the Flinders Medical Centre in South Australia to multiple rural
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experiments is strongly required Programming expertise in Python and either PyTorch or TensorFlow is required Experience using High-Performance Computers (HPCs) is preferred Ability to model Argonne’s Core
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original research in the area of AI-based program construction or performance engineering, co-supervise one or more doctoral students, teach in the first- and second-cycle software engineering programs
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-Sailors) network, funded by the Marie Skłodowska-Curie Actions (MSCA) Doctoral Network Programme. The E-Sailors network is designed to train the next generation of Electric solar wind sail (E-sail