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programming skills (preferably Matlab, or Python) Strong analytical and problem-solving abilities Excellent communication and scientific writing skills, and fluency in English (both written and spoken
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computational methods for Reliability-Based Design Optimization (RBDO). Your main tasks will include: Investigating and developing novel methodologies to improve the efficiency and applicability of RBDO
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-based formulations for various applications ranging from coatings, paints, adhesives to cosmetics or even textile. This is not a routine lab job. You’ll be inventing at the edge of material science
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, computational genomics, or animal genomics. Experience with a programming language (e.g., python, R) and basic working knowledge with high-performance computing clusters is required. A MSc degree in genetics
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your application by June 5th 2025. To apply, please submit your complete personal records (Cover Letter, CV, Academic Transcripts, and two publications or working papers). In addition, candidates should
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100%, Zurich, fixed-term Prof. Dr. Kent Warren , head of the Solar Energy Engineering Laboratory in the Department of Mechanical and Process Engineering at ETH Zürich, invites applications for a
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100%, Zurich, fixed-term Prof. Dr. Kent Warren , head of the Solar Energy Engineering Laboratory in the Department of Mechanical and Process Engineering at ETH Zürich, invites applications for a
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that allows everyone to grow and flourish. Curious? So are we. We look forward to receiving your online application with the following documents: Please note that we exclusively accept applications submitted
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80%-100%, Zurich, fixed-term The Biomedical Data Science (BMDS) Lab investigates data-driven solutions for healthcare applications with a focus on neurological conditions such as spinal cord injury
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open environment that allows everyone to grow and flourish. Curious? So are we. We look forward to receiving your online application, including the following documents: A short motivation letter