Sort by
Refine Your Search
-
Category
-
Program
-
Employer
-
Field
-
Hönggerberg campus in Zurich, Switzerland. The student will have an entire AMO laboratory at their disposal, including multiple laser systems, UHV chamber, control electronics, as well as realtime experimental
-
methods involving molecular surface display and deep sequencing to study force-dependent behavior in protein systems. These datasets will, in turn, be used to train machine learning models capable
-
and adoptive transfer, spectral flow cytometry, cell sorting, imaging, transcriptomics, single-cell RNA sequencing, spatial transcriptomics, and functional neuro-immune assays. Your profile We
-
MR pulse sequence design and image reconstruction approaches, excellent image quality is achievable. Moreover, given the lower static field, options to stacked and concurrent imaging of electric and
-
design follow-up wet lab experiments with colleagues. Integrate scRNAseq datasets with other omics information, including spatial transcriptomics, ATAC sequencing, metabolomics and/or multiplex imaging
-
-of-the-art facilities together with the neighboring Institute for Research in Biomedicine (IRB). It offers a thriving environment with leading edge research projects and multiple occasions of interaction with
-
of analytical processes and computational infrastructures. • Coordinate interfaces between sequencing platforms, analytical environments, data repositories and data-sharing infrastructures. • Support the
-
on single-cell and spatial genomics data, from sequencing and imaging, and apply them to human developmental and disease biology. Possible research directions include: ● Generative models of cell–cell
-
/transcriptomics team that develops and implements latest next generation sequencing (NGS) methods and strategies and provides services and training to the research groups accessing the center. The position offers
-
, shared autonomy, multimodal intent inference, and reasoning over sequences of human and robot actions. Job description Develop signal-processing and machine-learning methods for multichannel EMG, including