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Field
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. To do so, you will combine atomistic simulations (density functional theory and ab-initio molecular dynamics simulations) with new machine learning models to parameterize machine learning force fields
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of the programme include the following: To gather experience in independent planning, management, implementation, and evaluation of epidemiological and public health research projects To acquire comprehensive
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, ethics, responsibility in science, and public outreach. Doctoral researchers at the LSM acquire state-of-the-art knowledge of biology and biochemistry and are given a profound overview of the current
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Engineering, Machine Learning, Artificial Intelligence, Computational Linguistics, or a related field) • Strong programming skills (e.g., Python) • Strong skills in machine learning, deep learning and modern
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measure gravitational effects on entangled photons for shining light onto the interface of quantum physics and gravity? Can we exploit quantum photonics technology for novel quantum machine learning
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Set up and run simulations to increase our understanding about the factors that influence the change in genetic variance components in populations under selection. Support the postdoc with developing and
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support you during the different phases of your research as well as during your transition to the postdoc job market. International elements Content-related regional focus Special promotion / funding
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) Positions Postdoc Positions Application Deadline 27 Feb 2026 - 23:59 (Europe/Bratislava) Country Slovakia Type of Contract Temporary Job Status Full-time Hours Per Week 37, 50 Offer Starting Date 27 Jan 2026
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well as experience with cryptographic engineering. Responsibilities and qualifications You will work alongside the 4 permanent researchers and currently 6 PhD students and 2 Postdocs in the Cryptography Group at DTU
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gravitational effects on entangled photons for shining light onto the interface of quantum physics and gravity? Can we exploit quantum photonics technology for novel quantum machine learning, quantum computing