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) provide vision, leadership and strategic direction on the exploitation of emerging digital technologies, such as Artificial Intelligence (AI), Machine Learning, cloud computing, Internet of Things (IoT) and
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members of the group help each other. Opportunity for growth as a software developer in areas such as CUDA programming, analysis of neural data, machine learning model applications, and real-time
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player and great collaborator Strong interest in interdisciplinary work at the interface between neurodegeneration, modeling, screening and machine learning Prior experience in iPSC modelling and CRISPR
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About the Opportunity The Lecturer will teach introductory courses in architectural drawing, sketching, studio design, computer modeling, architectural history, technology, or project case studies
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statistical inference, machine learning and population genetics. The expected outcomes include new computational tools for studying B cell evolution, insights into age dependent immune diversity and the
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | about 1 month ago
systems Computer science » Informatics Information science Information science » Information management Researcher Profile Recognised Researcher (R2) Application Deadline 31 Mar 2026 - 12:30 (UTC) Country
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About the Opportunity JOB SUMMARY The Learning and Brain Development Lab (PI: Juliet Y. Davidow) at Northeastern University in Boston, MA, USA (https://lbdlpsych.sites.northeastern.edu/) is excited
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includes, but is not limited to: photonic data processing and communication systems; AI-driven optical signal processing and network optimisation; machine learning for photonic systems modelling, control
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of user support services, including network support, training, and computer desktop support. This role involves end-user support and training, focusing on endpoint technologies (desktops, laptops
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MICADO (the first light instrument of the Extremely Large Telescope). The project provides a collaborative network, engaging with leading experts in optics, astrophysics, and machine learning from