Sort by
Refine Your Search
-
, or related disciplines, and bring experience in several of the following areas: Peptide synthesis Mammalian cell culture Protein biochemistry Mass spectrometry Bioinformatics and programming A
-
microbiology/bioinformatics or nutrition (essential), experience with metagenomics (desirable), bioinformatics (experience using R or Python), multi-omics, and biochemistry. Communication capability in English
-
characterization in the context of mammalian cell line experiments Protein design and engineering Protein biochemistry and structural biology Cellular proteostasis Bioinformatics, statistics, and programming
-
research with state of the art technologies for genomics, transcriptomics, proteomics, and metabolomics as well as by high-end bioinformatics analysis. The successful applicant will be part of the Genomics
-
expertise, from software engineering and biomedical data management to statistical and bioinformatics services. Embedded in this multi-disciplinary facility, the Screening & Lab Automation group specialises
-
social well-being in areas such as energy systems, transportation, and industrial processes. We are looking for a doctoral student to join our international team and contribute to our research efforts in
-
process monitoring for manufacturing. Project background We are seeking a motivated engineer to join our team for a funded innovation project in collaboration with a leading Swiss industrial partner
-
, Environmental and Geomatic Engineering (D-BAUG), has an opening for a researcher focused on data and process analysis to enable digitalized railway operations. Project background Safe and efficient railway
-
well as administrative-technical units of ETH in finding, setting up and using the right tools / technologies for their work. Tasks include developing data processing pipelines or scientific web applications, improving
-
. Within this field, we are continuously developing and adopting various algorithms for multiple applications such as automating quality control, detecting process deviations and finally predicting