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. Qualifications: PhD in machine learning, with experience in applications in computer vision or medical image analysis. Strong publication record in top venues (e.g., CVPR, MIDL, MICCAI, IPMI, PAMI, TMI, MIA
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transcriptomics data analysis. Experience in quantitative image analysis, computer vision, or digital pathology. A strong background in cancer biology or immunology. Experience with machine learning, deep learning
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and Chemical Engineering at KTH Royal Institute of Technology are seeking a highly motivated postdoctoral researcher to join a new interdisciplinary project funded by Digital Futures, titled “AI
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facilitated by the availability of a high-power axial-feed capable plasma spray system and a high velocity air-fuel facility. These lend a rare uniqueness and versatility to the group’s processing capabilities
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for special reason. The selection process may involve sample lectures, work samples, interviews, and reference checks. Applications should be submitted digitally through our recruitment tool. As an applicant
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 4 hours ago
of uncertainty quantification to be used to inform the engineering process in a more systematic way. Science systems engineering focuses on ensuring alignment between the design and operation of an engineered
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, … Experiences in specific application domains and their visualization needs, especially related to the two DISA-groups of data-intensive digital humanities and eHealth, are an asset in the assessment process
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Polytechnique de Paris, is one of France's top 5 general engineering schools. The mainspring of Télécom Paris is to train, imagine and undertake to design digital models, technologies and solutions for a society
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Computer Engineering (CE) section of the Quantum & Computer Engineering (QCE) department is looking for a highly motivated PostDoc candidate who wants to work on efficient and reliable digital CIM-based AI
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Electronics for biosensing (including analog/digital circuit design and signal processing) Implantable or wearable devices Optical and electrochemical biosensing techniques Experience working in