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graduate from architecture, civil engineering, mechanical engineering, or a related field with strong skills in digital fabrication, physical prototyping, and ideally good knowledge in programming Other
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models or glioblastoma research Familiarity with transcriptomic methods (RNA-seq, FISH, spatial transcriptomics) Programming skills for data analysis (Python, R, or MATLAB) Workplace Workplace We offer
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experience with multiple programming languages Experience with plugin-based architectures is a strong advantage Familiarity in geometry processing, meshes and/or point clouds is an advantage Familiarity with
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. Specifically, it comprises: Supporting the development of flipped classroom courses (e.g., for the Pathways to Sustainability course program); Conducting a market analysis of existing courses in the field
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Researcher (Oberassistent) level (see Scientific Functions at ETH Zurich ). Further career progression to a permanent position is possible, and a career development plan with clear milestones and timelines
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statistical genomics, computational biology, computational genomics, or animal genomics. Experience with a programming language (e.g., python, R) and basic working knowledge with high-performance computing
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and interdisciplinary teaching formats, particularly in behavioral research, reproductive and evolutionary biology, and the socioecology of power. The position will also contribute to programs in other
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As a Lab Automation Engineer at SwissCAT+ East, you will be responsible for the maintenance, troubleshooting, programming, and continuous development of a diverse portfolio of automated and high
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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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, the candidate should be committed to: doing field work, wet-lab work, learning about bioinformatics, including R and shell programing, and analyzing data using population genetics tools and theories