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for e-DAC. The research will involve molecular-level modeling and data-driven analysis to guide the design of redox-active capture materials, combined with experimental validation in electrochemical cells
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with companies and public authorities. Our research aims at strengthening welfare, productivity and sustainability. A key element is the role of technology and its interaction with industry and
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stakeholders. Experience with business development, market analysis, and healthcare innovation is highly relevant. Familiarity with medical devices or in vitro diagnostics is considered an advantage. You will be
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., cloning) and/or genome engineering Experience with mammalian cell culture (cell lines; experience with primary immune cells is an advantage) Experience with Programming/data analysis skills Interest NGS
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within any of galaxy formation, Lyman-alpha absorption, ISM/CGM evolution, and spectroscopic data analysis are strongly encouraged to apply. Responsibilities and qualifications Your overall focus will be
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computational methods for 3D anisotropic Electrical Impedance Tomography. This is a very challenging inverse problem in the intersection of mathematical analysis, geometry and computing that recently has achieved
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Multi-Party Computation (MPC) and Zero-Knowledge (ZK) Proofs. The successful candidate will investigate the formal design and security analysis of MPC protocols and ZK proofs, with a particular emphasis
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structures obtained via Dark-Field X-ray Microscopy (a synchrotron-based imaging technique), combined with phase field modeling predictions of the structural evolution. Qualifications: Background in data
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based on C- and T-centers at millikelvin temperatures. Besides the optical experiments, the project may, depending on the interests and qualifications of the applicant, involve significant elements
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of value-added chemicals. To this end, the PhD candidate will apply computational methods, such as flux balance analysis and genome-scale metabolic modelling, to design synthetic metabolic modules