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Strong background in seismic methods, signal processing, and/or wave physics Experience or strong interest in seismic data processing, imaging, and inversion Good programming skills (e.g., Python, MATLAB
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Hands-on experience with 3D reconstruction, multi-view geometry, or neural rendering Experience with appearance reconstruction, reflectance estimation, or material/BRDF modeling Proficiency in Python and
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datasets (petabyte-scale), data management and data quality control Very good skills with programming languages such as Python/R/Julia, use of scientific data libraries (e.g., xarray, netCDF4, HDF5, Zarr
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analytics / atmospheric monitoring of greenhouse gases and interest in automated setups and field work. Knowledge of scientific data analysis (e.g. Python, MATLAB or R). Good verbal and written communication
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Required skills Master’s degree in STEM Strong proficiency in Python Practical experience with PyTorch Solid understanding of unsupervised machine learning and deep learning Excellent communication skills
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spectroscopy Should have working knowledge of optics, electronics, 3D experimental design (e.g., CAD) and coding languages (e.g., Python) Should be willing to train users of spectroscopic and experimental
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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