264 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"SciLifeLab" positions in Switzerland
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
1-year fellowship in Shoebill Conservation Genetics with support for a further 3-year PhD fellowship
about bioinformatics, including R and shell programing, and analyzing data using population genetics tools and theories. The candidate should have good self-organization, be solution-oriented, and have
-
(completed or near completion) in a relevant field (e.g., Environmental or Soil Sciences, AI, Data Science, Geosciences). Basic knowledge of soil science and strong interest in AI and soil health. Experience
-
of the Varda machine learning weather prediction system. The model is being trained using archive data from MeteoSwiss operational forecasts and observations, with the objective to provide accurate and fast
-
of measurement systems, signal processing and analysis and the assessment of measurement accuracy, robustness and long-term stability. The resulting data form the basis for model-based approaches to evaluating
-
postdoctoral researcher with a strong background in sequence bioinformatics, algorithms and data structures. The successful candidate will join an interdisciplinary effort developing innovative diagnostic
-
relevant information from the papers. Our research group is dedicated to investigating human cognition and learning processes. We conduct theory-driven research about how people learn and how to develop
-
for further information) Scan of your validated UZH Card Letter of invitation or research plan Depending on the type of activity applied for, we require either a letter of invitation or a research plan. Letters
-
motivated individual to develop Python tools for analyzing data from our holographic cloud particle imagers. Our research group studies the crucial role of clouds and aerosols in the climate system, aiming
-
Computer Vision and Computer Graphics techniques to digitize human avatars and garments in 3D. Within this project, your role is to advance our existing algorithms that reconstruct 3D garments from multi
-
change, climate change attitudes, and risk under environmental heat stress by combining psychological profiling, biological lab data, physiological time series, and sensor data. The postdoc will play a