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. Hence, you will have substantial freedom to define projects. We focus on methods-driven ML for scientific modeling, currently emphasizing the integration of data-driven and mechanistic approaches
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part of the EU-funded HUM.AI.N-ACCENT Doctoral Network, an interdisciplinary consortium of 13 labs and 24 partners across Europe, Canada, and the US. The successful candidate will benefit from
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, investor, construction manager or area developer. Transitions should therefore not be governed in isolation but collectively. Stakeholders, however, often hold their own individual values and interests
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instructions and clearly document issues/errors in data Ability to define problems, propose solutions, and implement them after consulting with supervisor Following training period, ability to work independently
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noble-metal tellurides. The researcher will work together with PhD students, postdocs, and a research engineer, to perform the experiments. Description of the work duties: to perform synthesis
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digital technologies. At HPI, you benefit from close supervision by experienced professors and postdocs, cutting-edge research facilities, and a collaborative academic network, e.g. with the University
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or computational neuroscience/machine learning. You possess solid programming and software engineering skills. You have excellent written and spoken English skills. You are a proactive team player, who enjoys
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community of doctoral candidates and a network of supervising professors. Doctoral candidates attend subject-specific and interdisciplinary training courses and sign supervision agreements defining the rights
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Research theme: "Next Generation Wireless Networks", "Signal Processing", "Machine Learning" UK only How to apply: uom.link/pgr-apply-2425 This PhD project aims to design novel resource allocation
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Application Deadline 14 Oct 2025 - 23:59 (UTC) Type of Contract To be defined Job Status Full-time Offer Starting Date 1 Jan 2026 Is the job funded through the EU Research Framework Programme? Not funded by a