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at international academic gatherings; Create, maintain, and document high-quality research code for reproducibility; Maintain good practice in managing and accessing sensitive medical datasets; Assist the supervisor
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Job Title Postdoctoral Research Associate - Social Networks Agency Texas A&M University Department Teaching, Learning And Culture (Tlac) Proposed Minimum Salary Commensurate Job Location College
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the areas of Machine Learning (ML) and Artificial Intelligence (AI). Focus will be placed on applications of these technologies in cybersecurity and anomaly detection in encrypted network data. The successful
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for MIMO networks including massive MIMO, multi-user MIMO and distributed MIMO. Preferred Qualifications • Strong coding/programming skill (e.g., Python, C++, etc). • Experience with O-RAN. • Experience
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to developing an entirely new data storage platform, encompassing coding, synthesis, and readout capabilities. Additionally, it involves the integration of three CY University laboratories. The proposal
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to the Łukasiewicz Research Network – Krakow Institute of Technology: Based on Article 221a and Article 221b of the Labor Code of June 26, 1974, I consent to the processing of my personal data contained in
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systems against network-based threats. The research will explore network attack surfaces in distributed AI, assess their impact on system reliability and trustworthiness, and develop cross-layer defenses
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for Theoretical Physics of the Polish Academy of Sciences (CFT PAN) in Warsaw announces a competition for one postdoc position under the Q-ONE project "Quantum Optical Networks based on exciton-polaritons" financed
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or equivalent Additional Information Benefits A 24-month fellowship with an estimated net remuneration of 2,711€ per month, a mobility allowance of 200€ gross per month, and a family allowance up to 299€ (gross
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developing economies. We seek a candidate with expertise in both empirical and theoretical economics, with good coding skills. The role will involve designing surveys, working with existing datasets, and