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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 1 month ago
Operations to play a pivotal role in research implementation, coordination, and management of a project focusing on these topics. The postdoc will join a dynamic, dedicated group under the supervision of Prof
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, molecular properties, and pathological images. Strong knowledge and experience in data science algorithms, methods, and analysis techniques. Experience in programming using Python and R languages and working
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investigations in any discipline at Nanyang Technological University (NTU), often regarded as the most research intensive university in Asia. The postdoc appointment is intended to provide a pathway to an academic
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Postdoctoral Networking Tour in Artificial Intelligence (Postdoc-NeT-AI), a two-step networking program that offers participants the opportunity to interact face-to-face with leading researchers in Germany, with
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institutional and intellectual “settings”. Through the College for Life Sciences we promote scientists at the beginning of their career, i.e., postdocs, junior group leaders, lecturers, and assistant, associate
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to pursue their personal vision of a particular scientific project independently – in the best possible locations, anywhere in the world. The fellowship is awarded to postdocs for up to five years. Since it
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support for postdocs in Sweden. Opportunity to work alongside academic leaders in science and engineering at WASP research partner institutions in Sweden. Access to the infrastructure in the WASP-funded
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processing, artificial intelligence, cognition and deep learning, machine learning, navigation and mapping, autonomous driving, assistive robotics, drones, dynamics and vibration, acoustics, medical imaging
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laboratory facility and a preclinical imaging facility. Trainees can gain hands-on experience with cutting edge instrumentation while working with an outstanding group of technical and health physics support
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. The projects may also include to tackle benchmarking problems such as SAT, image processing, graph theories, boson/fermion sampling by applying classical machine/deep learning, neural network techniques and