175 computer-programmer-"https:"-"IDAEA-CSIC" "https:" "https:" "https:" "https:" "https:" "Dr" "L2CM" uni jobs at ETH Zurich
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solutions. In addition, you will design, plan, and manage software projects from requirements engineering and stakeholder management to budget responsibility. You will ensure that the RDM systems used
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of Competence in Research (NCCR) Separations. Job description Within a broader research program that integrates process modelling, computational materials screening and discovery, experimental synthesis, and
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scientometrics Profile Background Master’s degree ideally in information science, library science, data science, computer science, or a comparable field; a PhD is an advantage Regardless of academic background
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until a suitable candidate is found. For further information about the group, please visit our website . Questions regarding the position should be directed by email to Prof. Dr. Alexander Mathys
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The Computational Mechanics Group in the Department of Mechanical and Process Engineering of ETH Zurich is seeking one doctoral student. The position is funded by the SOFRA(CT) project and aims
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to work at the interface of quantum optics, quantum information science and quantum many-body physics. Led by Prof. Wenchao Xu , the EQE group develops programmable quantum systems based on neutral atoms
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Computer Vision and Computer Graphics techniques to digitize human avatars and garments in 3D. Within this project, your role is to advance our existing algorithms that reconstruct 3D garments from multi
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single-cell and next-generation sequencing techniques as well as human and murine in vivo and in vitro studies and combine these with genome-wide computational and bioinformatic analysis. With strong
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regarding the position should be directed via email to Dr. Nino Wili (science@ninowili.ch) and Claudia Hilty (claudia.hilty@phys.chem.ethz.ch). Please note that we exclusively accept applications submitted
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operating and advancing the data platform, assist interdisciplinary projects that integrate multiple data sources, and use high-performance computing resources to manage and process large environmental