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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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in R and Python (MATLAB experience is a plus) Ability to analyze high-dimensional bioinformatics datasets, including multi-omics data (e.g., transcriptomics, epigenomics, proteomics, spatial or single
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Programming experience in python Interest in extreme weather phenomena Workplace Workplace We offer A fully funded PhD position at ETH Zurich within an SNSF Ambizione–funded project The opportunity to work
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modelling Experience developing or applying models of forest dynamics Experience working with ecological and multi-scale datasets Proficiency in scientific programming (e.g., R, Python, Rust, or similar
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computationally and developing scientific software. Experience in Python is highly recommended, additional knowledge of performance-oriented modeling frameworks, either based on Python (e.g., JAX, Pytorch) or other
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(preferably Python), multiple years of programming experience as well as profound knowledge of professional computer-aided design and 3D modelling In addition, you have experience in CAD/CAM (preferably McNeel
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against experimental data. Proficiency in Python, together with good software engineering practices such as version control and testing, is expected. Experience with high-rate dynamics, cavitation
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, ICML, ICLR) Proven ability to conduct independent, high-quality research Proven ability to write well-documented code in Python Strong motivation to work in a collaborative team environment and to
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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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Programming skills in one or more relevant languages (e.g. Python, R, Bash) Experience with the analysis of omics data (e.g. genomics, metagenomics, metatranscriptomics); experience with additional data types