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knowledge acquisition (machine learning), the complexity of learning algorithms, pattern recognition with artificial neural networks, computational geometry and information processing in biological neural
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initiatives Participating and presenting at international conferences Generate new scientific knowledge Salary The Doctoral Network “SPACER” is financed by the European Union under the framework of the program
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for three years from March 1st , 2026. Project description The advertised PhD position forms part of a competence network supported by the EU Interreg-6a funding scheme between Germany and Denmark. The vision
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Description Experimental and computational projects available at the International Max Planck Research School for Sustainable Metallurgy (IMPRS SusMet) in Germany at the partner institutes Max
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Status Full-time Hours Per Week 40 Offer Starting Date 1 Jan 2026 Is the job funded through the EU Research Framework Programme? Horizon Europe - MSCA Reference Number DC1 Application Marie Curie Grant
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through the EU Research Framework Programme? Horizon Europe - MSCA Reference Number DC4 Application Marie Curie Grant Agreement Number 101225857 Is the Job related to staff position within a Research
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Technische Universität Wientochemistry and Biochemistry of Natural Compounds | Austria | 24 days ago
- 23:59 (Europe/Paris) Type of Contract Temporary Job Status Full-time Offer Starting Date 1 Jan 2026 Is the job funded through the EU Research Framework Programme? Horizon Europe - MSCA Reference Number
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are currently seeking a highly motivated PhD student to join our team to work on the design and implementation of Oscillatory Neural Networks (ONNs) for physics-based computing applications. You as the successful
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facilities for your work Networking & Exchange: You will participate in (international) conferences and project meetings and actively build your scientific network Work-life balance: Flexible working
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Infomatter group at AMOLF. The SMIP project aims at revolutionising computing by developing adaptive, smart materials that combine memory and learning directly within their structure, uniting theory and