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Università degli Studi di Roma Tor Vergata - Dipartimento di Ingegneria Elettronica | Italy | about 2 months ago
will be investigated, with particular emphasis on next-egneration wireless communication systems. The program will also involve circuit design, optimization through dedicated CAD tools, prototype
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certifications, and other business considerations. Salary offers at the top of the range are not common. Visit UC Benefit package to discover benefits that start on day one, and UC Total Compensation Estimator
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Calculator: http://www.cu.edu/node/153125 Application Deadline Applications will be accepted until the position is filled. Preference will be given to complete applications received by Sep 23, 2026, 11:59:00
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into different stages of optimization, both as priors and as feedback after optimization outcomes. Information This PhD project is a part of the CoRDS project – Confident Data-Driven Decision Support (https
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needs (computers, mobile access, software permissions). Facilities Oversight: Coordinate facility work requests, space maintenance, and access needs for the executive suites. Independently coordinate with
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job funded through the EU Research Framework Programme? Other EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you passionate about advancing
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, active learning, Bayesian optimization, agentic AI, or closed-loop materials discovery. Experience in computational heterogeneous catalysis, electrocatalysis, surface science, electronic-structure analysis
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optimization of novel antiviral molecules using computational and structure-based approaches, contributing to the development of innovative therapeutic strategies against WNV and other emerging flaviviruses
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across Non-Prod and Prod environments to ensure optimal uptime and performance for ORIS products and services Engage and participate in ORIS’ culture of review both as reviewer and reviewee to ensure
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design and execute experimental studies examining m6A-mediated gene regulation using biochemical, molecular, genomic, and computational approaches. Responsibilities include developing and optimizing