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comprehensive single crystal / thin film scattering measurements, exploiting developments in artificial intelligence and machine learning. We also invite candidates with interests in beamline automation and
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and extracting biological insights. You have experience with advanced computational and statistical approaches, ideally including machine learning and/or artificial intelligence. Prior experience with
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SUSMAT-RC - Postdoc Position in Computer-Aided Design and Discovery of Sustainable Polymer Materials
candidate is expected to: Build and evaluate chemical databases based on experimental and computational data. Establish predictive models based on artificial intelligence methods. Utilize the developed
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Computational Biology Employer VIB Location Ghent Closing date 17 Nov 2026 View more categories View less categories Discipline Life Science Job Type Postdoctoral Employment - Hours Full time Duration
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conduct research on the computational design of soft materials using molecular simulation and artificial intelligence. The position will support startup-funded research in the Jiang Group focused on
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SUSMAT-RC - Postdoc Position in Computer-Aided Design and Discovery of Sustainable Polymer Materials
candidate is expected to: Build and evaluate chemical databases based on experimental and computational data. Establish predictive models based on artificial intelligence methods. Utilize the developed
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campuses of Rutgers related to origins of life research, artificial intelligence methods development, evolutionary biology, and computational biology.Prof. Kaelber is recruiting a “dry lab” scientist
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campuses of Rutgers related to origins of life research, artificial intelligence methods development, evolutionary biology, and computational biology.Prof. Kaelber is recruiting a “dry lab” scientist
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methods across a broad range of scientific and engineering problems, with activities spanning particle physics, artificial intelligence and machine learning, quantum computing, and advanced
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Requisition Id 16723 Overview: We are seeking a Postdoctoral Research Associate with expertise in artificial intelligence (AI) and machine learning (ML) for multiscale physical systems. This