Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
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
-
and why you would be a good candidate! Curriculum Vitae including your publication record and programming languages and frameworks you are familiar with. Links to code samples/open-source projects
-
Zurich or another Swiss university Proven experience in software development Strong Python programming skills, with demonstrable experience in several of the following areas: GUI development CUDA for GPU
-
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
-
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
-
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
-
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
-
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
-
, 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
-
for the renewable energy sector via the M2A European Training Network (ETN), funded by the European Commission’s Horizon 2020 Marie Skłodowska-Curie programme. Project background M2A puts forward a robust methodology