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organizing/publishing software packages. Familiarity with core data structures, algorithms, and some exposure to parallel or distributed computing. Strong quantitative and critical-thinking abilities
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speech at the pinnacle of complexity. Like human babies, songbirds learn their vocalizations early in life from a social tutor. Numerous parallels to human speech learning, including analogous neural
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Position as Computational Analyst / Bioinformatician in RNA Therapeutics and Cardiometabolic Disease
The Opportunity: We are seeking a highly motivated and experienced Computational Analyst / Bioinformatician / Staff Scientist (AC-TAP) to be a cornerstone and formative member of a new
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of the Bachelor's or Master's degree programme (e.g., sociological research training, Bachelor's seminar). You will also be responsible for coordinating the content of specific parallel courses. The employment level
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Postdoc position to support international research and capacity-building projects employing elect...
. Publication of scientific results in international journals and presentation at conferences. Supervision and mentoring of MSc and PhD students. The successful applicant will also be required to support parallel
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technical knowledge in areas such as: Foundational Models Algorithmic Research Machine and Deep Learning Computer Vision Edge AI, TinyML, and Embedded AI Explainable AI Safe AI Federated, Parallel
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aims to achieve reliable genome design and synthesis – engineering cells to have specific functions – which will be a major milestone in modern biology. A dedicated social science program will support
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basic science with biotech applications and combines rich functional assays with cutting-edge computational biology. Our method relies on aptamer-based sensors to recognise each specific metabolite target
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to translate these findings into more biologically relevant systems. In parallel, you will work with medicinal and computational chemists to help optimise the chemical tools into candidate-quality molecules
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substantial knowledge and research experience in areas such as computational fluid dynamics, turbulence modeling, data-driven methodologies, machine learning, and parallel computing. The candidate should also