158 computational-physics-"https:"-"https:"-"https:"-"https:"-"IFM" positions at ETH Zurich
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of this position are (1) to manage the fabrication and characterization of ultrasound-sensitive drug carriers, (2) improving the manufacturing process and (3) establish the delivery of biologics such as RNA
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evaluate prototypes together with industrial partners Profile Required experience CH/EU/EFTA citizenship or valid Swiss work permit PhD in Engineering, Computer Science, Robotics, or related field Strong
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, aquatic biota Project background Many small riverine organisms rely on flow‑mediated processes to complete their life cycles. One such process is drift, a fundamental mechanism of downstream dispersal
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. Profile Ph.D. in Nuclear Engineering, Physics, Chemical Engineering, or a related field. Experience with computational chemistry and simulation tools. Prior knowledge of nuclear safety, severe accident
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of the student's PhD thesis. The PhD program at D-USYS (Department of Environmental Systems Science), ETH Zürich typically lasts three to four years on average. PhD students usually have to conduct research, study
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a low efficiency. It is not uncommon that bone has to be removed surgically. This formation of bone in soft tissue is the result of an osteoinductive process during which stem cells are differentiated
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This computational project will employ calculations based on density functional theory (DFT) and extensions of DFT, such as DFT+U and DFT in combination with dynamical mean-field theory (DMFT). It is
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body of work that already expresses crucial inquiries in light, matter, perception, and physical phenomena "and" is truly experimental. Building on the artist researcher's standing, she/he/they would
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The Quantum AI lab at ETH (Prof. Juan Carrasquilla ) invites applications for postdoctoral positions to work at the intersection of computational quantum many-body physics, automated scientific
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of Medical Microbiology at the University of Zurich, the Department of Informatics at ETHZ and several further partners, we address the challenge by the combining microfluidic technology, sequencing and fast