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Listen Published Tuesday 17 Mar 2026 Deadline Sunday 19 Apr 2026 Work area PhD Organisational unit Erasmus School of History, Culture and Communication (ESHCC) Salary € 3.059 - € 3.881 Employment 1
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of young and motivated researchers? We are seeking a PhD student to carry out cutting-edge research in theoretical computer science, with an expected focus on cryptography. Join us! Cryptography’s task
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PhD: Building the infrastructure for (mass) mobilisation Faculty: Faculty of Geosciences Department: Department of Sustainable Development Hours per week: 36 to 40 Application deadline: 15
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PhD candidate on Interprofessional Learning and Team Resilience through the Electronic Health Record
-proof healthcare? This PhD position offers the opportunity to explore how interprofessional teams can use insights from the Epic electronic health record to learn together, improve care, and strengthen
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would have a profound impact – facilitating more robust metrology models and significantly faster time-to-recipe across the maturity stages of a semiconductor process node. Research settings: PhD
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Wetsus - European centre of excellence for sustainable water technology | Netherlands | about 1 month ago
technology Computer science » Modelling tools Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 6 Apr 2026 - 15:00 (Europe/Amsterdam) Country Netherlands Type
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As a PhD Candidate, you will investigate how women in peripheral communities in Latin America transform their urban environments to become more liveable, sustainable, safe and democratic
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(PICs) increasingly used in various applications. To allow a smooth design flow for these PICs, optimized compact models are needed. This PhD position is enabling compact models for optical amplifiers and
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to solve the resulting differential equations. The team has a healthy portfolio of PhD positions and close collaborations with industrial partners. It consists of four full FTEs at Eindhoven University
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enabling new transmitter concepts, but only if we can detect imperfections and correct them in real-time. In this PhD, you will build the digital “brain” that makes this possible: an energy-efficient