Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
knowledge of R/Bioconductor and/or Python Working experience with GNU/Linux operating system Enthusiastic about statistical and bioinformatics data analysis Strong communication skills and a team-oriented
-
, and tree physiology. Willingness to travel and undertake extended fieldwork for data collection. Driving license. Experience in ecological data analysis and statistical programming (R or Python
-
. Profile Enrollment as a student at ETH Zurich or the University of Zurich in a relevant field, such as computer science, engineering, economics and mathematics Intermediate coding skills in R, Stata
-
20%-30%, Zurich, fixed-term The GenAI-R&D for Future-Proof Teaching group at the ETH AI Center (Zürich-Oerlikon) builds fully open-source systems aimed at transforming the way students learn and
-
programming in R) Field work experience and a valid driver's license Willingness to travel and undertake extended fieldwork for data collection Advanced language skills in English (oral and writing) Workplace
-
R&D team, decisively pushing pioneering ideas and making them a reality. Profile Your contribution In your role you are primarily responsible for the following tasks: Designing and implementing higher
-
) Ability to present results to different audiences (technical, non-technical) Solid knowledge of machine learning concepts and programming skills in Python, R, or a similar language 1-3 years of data science
-
Python or R Experience using Git for version control and scripting in Bash or PowerShell Proactive, problem-solving attitude and ability to work independently and collaboratively in an interdisciplinary
-
programming, modelling and data analysis skills in Python and/or R. Experience with the formulation and implementation of mathematical optimization problems can give you a competitive edge. The candidate should
-
observation data, including drone-based data (RGB, LiDAR, hyperspectral). Strong skills in geospatial and statistical analysis (e.g., GIS, remote sensing software, R/Python). Experience in data preprocessing