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Field
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. You will primarily be responsible for building a machine learning model and performing computational genomics or quantitative genetics on new sequencing data. Your goal will be to develop a system that
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-performance Battery Energy Storage Systems (BESS), capable of meeting the stringent energy, safety, and integration requirements of aviation. The main objective of the postdoctoral position is to develop a high
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improved performance. Polyesters, known for their good recyclability and/or biodegradability, are ideal novel candidates but require development to match the properties of the incumbent fossil polymers
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demolition waste. When concrete is demolished, it produces fine powder known as RCFs. With specific treatment, these fines can potentially enhance concrete performance when used as SCMs. However, RCFs can vary
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on the decoherence of entangled spin qubits in semiconductors (≈15%). Conduct research on the dephasing of entangled photonic qubits in quantum networks (≈85%). Perform analytical and/or numerical studies and analyse
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contract, we initially offer a one-year contract that can be extended for 2 more years on good performance. Of course, we are happy to have a conversation with you if you have any questions about this
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qubits in quantum networks (≈85%). Perform analytical and/or numerical studies and analyse results. Prepare and submit 1–2 scientific publications. You will be part of a collaborative and supportive
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problems. While robots excel at precise positioning and heavy lifting, they fail at tasks humans perform unconsciously – sliding a glass without spilling, rotating a screwdriver with proper torque
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barriers. The candidate is expected to perform independent experimental research, contribute to scientific publications, and actively engage in collaborative team efforts. Organisation The position will be
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The Computational Cognitive Science DCS) department performs cognitive and computational research in the domains of Artificial Intelligence and Cognitive Science and runs educational programs