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precision medicine based on gene sequencing time series data. Large data sets come with significant computational challenges. Tremendous algorithmic progress has been made in machine learning and related
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the individual career and personal development of doctoral students, along with facilitating networking among them. https://www.philgrad.hhu.de/ Support for international students and doctoral candidates Welcome
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 25 days ago
Researcher (R1) Application Deadline 20 May 2026 - 21:59 (UTC) Country Germany Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU
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drone detection and localisation performance using radar systems. This can be achieved by improving the detection performance of individual sensors and by employing a cooperative network of sensors which
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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for advanced mechanistic studies and future therapeutic applications. As a doctoral candidate in this program, you will be fully embedded within a collaborative network involving leading experts from the Sussex
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established research program MiningBrines. The program offers an innovative doctoral training initiative designed to address Europe’s strategic need for sustainable access to critical raw materials, energy
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to work at the intersection of computational modeling, vascular biology, and clinical innovation? The ThromboRisk Doctoral Network offers an exceptional opportunity to join a European-wide research
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Network project funded by the Marie Skłodowska-Curie Actions (MSCA) programme. The project brings together leading academic and industrial partners from eight European countries (Germany, France, United
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challenge: how to evolve classical communication networks to support both traditional data and the unique requirements of quantum information systems (https://www.classique.aau.dk). CLASSIQUE will address a