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Field
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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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are highly anisotropic and non-linear. Furthermore, the dynamics of high-speed manufacturing processes need to be included in the modelling framework, ensuring its applicability to industrial processes
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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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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 2 hours ago
process in a more systematic way. Science systems engineering focuses on ensuring alignment between the design and operation of an engineered system and its top-level science objectives, but there has not
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this position, an ideal candidate should have: Completed a relevant PhD degree in Electrical Engineering, Computer Engineering, or any other related field relevant to the research; Good understanding of digital
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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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, … 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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. 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