1,855 optimization-nonlinear-functions PhD positions in Ireland-University-Ranking-2024
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processing to unlock fiber capacity and relevant higher layer protocols required to operate modern optical communication networks. Based in the purposely built FLUX building at the TU/e Campus, the ECO group
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while improving long-term performance. The project offers a unique opportunity to gain advanced training in rheological and dynamic mechanical analysis, solid-state NMR, and time-resolved structural
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. Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants . JOB DESCRIPTION AND POSITION
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Listen Published Tuesday 1 Sep 2026 Deadline Sunday 20 Sep 2026 Work area Research, development, innovation Organisational unit Erasmus School of History, Culture and Communication (ESHCC) Salary
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(R4) Positions PhD Positions Application Deadline 14 Oct 2026 - 17:00 (Europe/Riga) Country Latvia Type of Contract Temporary Job Status Part-time Hours Per Week 24 Is the job funded through the EU
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their website at https://www.naritalab.com/ Our laboratory investigates the biology of preneoplastic cell states, with particular interest in how changes in cell functional identity and plasticity are controlled
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part of a new lab at the Delft Center for Systems and Control, supervised by Gabriel de Albuquerque Gleizer. The research will allow you to gain deep insights across nonlinear dynamics, optimization, and
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renewable energy use, energy security, and the reliable operation of hydro-dominated power systems. The project will focus on how AI can support advanced optimization models for hydropower and energy-system
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dissipative networks. We will view learning as a feedback interconnection of continuous-time (circuit) dynamics and an optimization algorithm. The key idea is to develop algorithms that minimise cost functions
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appears protective. This inverse relationship provides a powerful genetic entry point to identify pathways that drive vulnerability or resilience genome wide. This project will use computational methods