142 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "https:" "Dr" "L2CM" positions at ETH Zurich
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100%, Zurich, fixed-term The Programming, Education, and Computer-Human Interaction group in the Department of Computer Science is recruiting one research intern to work broadly in the area of
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the Institute for Atmospheric and Climate Science which hosts a seminar series and maintains educational programs at the BSc and MS levels. The group is located at ETH’s central campus with access to high quality
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molecular laboratory techniques (e.g. DNA/RNA extractions, PCR, qPCR) Experience in method development and testing protocols under laboratory conditions Ability to work independently, plan and document
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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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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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working with multimodal data fusion and high-resolution remotely sensed data is required. Proficiency in programming, particularly in Python, is essential. Knowledge of deep learning approaches and
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using emerging non-invasive exhalomics (exhaled breath metabolomics) approach. The research program integrates animal experiments with advanced analytical techniques and bioinformatics to enhance
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executing computational projects. Prior experience with DFT-based electronic structure calculations or other computational quantum-mechanical many-body techniques. Programming skills in either Python, Fortran