Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
signal processing and/or survey datasets. ML & AI techniques and applications. HPC and orchestration of scientific data processing workflows. Parallel computing (GPU & CPU). good software engineering
-
improvement in efficiency through parallelization, near-sensor processing, and heterogeneous architectures with specialized accelerators. Working, teaching and research at ETH Zurich We value diversity and
-
bioinformatic analyses (in collaboration with partners at ETH and in the USA) Investigate the underlying mechanisms for the altered composition of the LEC glycocalyx upon loss of core-1-derived O-glycans using
-
interferometry, isothermal titration calorimetry, or similar) and cellular assays. Expertise in bioinformatics and programming is advantageous. Experience in structure-based design or generative models is a plus
-
by the groups Grassland Sciences and WaldLab Ecohydrology . Our research focuses on the process- and system-understanding of biosphere‒atmosphere greenhouse gas exchange and its drivers in forests and
-
models to the design of sustainable processes in chemical engineering. To bridge the scale from molecules to processes, we apply state-of-the art mathematical concepts and tools combined with highly
-
following areas is required: bioinformatics analysis of high dimensional data (R/Python), metabolomics, tissue/organoid culture work, (anaerobic) bacterial culture. Highly beneficial experience at all levels
-
engineering and digital design: Enabling high-performance timber plate structures through simplified connections and planning processes”. The project is a collaboration between Gramazio Kohler Research (Chair
-
. liquid handling robots, integrated systems, scheduling software) Collaborate with researchers to translate biological assays into automated or semi-automated processes Support applications in molecular
-
related to staff position within a Research Infrastructure? No Offer Description The Department of Mechanical and Process Engineering (D-MAVT, www.mavt.ethz.ch ) at ETH Zurich invites applications