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The Department of Environmental Sciences at the University of Basel invites applicants to apply for a PhD position in evolutionary biology of microalgae as part of the SNSF Ambizione project: "Key
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evolutionary biology of microalgae as part of the SNSF Ambizione project: "Key functional and morphological innovations in a rapid evolutionary radiation of diatoms in African Lake Tanganyika" awarded to Dr
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: graph neural networks, natural language processing, algorithmic learning, fault-tolerance, blockchains, consensus, cryptocurrencies, digital money, central bank digital currency, decentralized finance
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, you will design, prototype, and optimize advanced simulation algorithms—particularly in the domain of cloth and deformable materials and contribute to our next generation of rendering and learning-based
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) Experience in deep learning algorithms is a plus Ability to work in a highly international team and interdisciplinary project applicants are expected to have excellent language skills in English Opportunity
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development of algorithms and large-scale numerical simulations. Your expertise will extend to various areas, including quantum Monte Carlo, machine learning, quantum computing, quantum machine learning, and
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, high-throughput cloning and evolutionary biology, and will be responsible for actively participating in interdisciplinary research projects while managing a wet lab and mentoring new and temporary lab
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and dynamics, which we also plan to investigate using AI-based pattern recognition algorithms. In this project, the PhD student will: Run the MIT General Circulation Model (MITgcm) together
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the theoretical and algorithmic foundations of AI. A strong commitment to excellence in undergraduate and graduate teaching and mentorship is essential. Preference will be given to candidates who show promise in
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into embedded prototypes to demonstrate real-world feasibility. The overarching goal is to bridge high-level algorithmic innovation with energy-aware hardware deployment, enabling intelligent sensor systems