Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
or Functional ultrasound imaging or Electrophysiology (neuropixels) in behaving animals Quantitative data analysis and computational modeling of network activity Data acquisition systems, signal processing and
-
in health and disease, with extensions to high-content spatial-omics analysis and digital pathology. Functional brain imaging: Application of wide-field optical mapping in awake, behaving mice to study
-
of food ingredients. The research is focused on structural and physical aspects of food ingredients and food matrices using high resolution microscopy and image analysis. We are seeking a highly motivated
-
employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy
-
Coscia at the Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC) in Berlin, Germany, as part of a recently awarded ERC Starting Grant, “Deep Spatial Proteomics: Connecting
-
models, for the analysis of high-throughput multi-omics datasets (especially single-cell and spatial omics), large textual corpora (e.g., scientific literature), and/or pathologic images. Our research
-
approaches with automated longitudinal behavioral analysis. Close interactions with electrophysiology and neurophysiology units at the center will enable functional characterization of circuit dysfunction
-
. The successful candidate will use biochemical, biophysical, and optical approaches, including advanced fluorescence microscopy (confocal, TIRF, single-molecule imaging), to dissect the molecular machinery
-
, preferably using yeast Genome engineering / synthetic biology, yeast and/or mammalian Cell biology, microscopy, and biochemical approaches Functional genomics and computational data analysis, including AI
-
intervals/bootstrapping, hypothesis testing, subgroup/stratified performance analysis. Large cohort and datasets handling. Experience with Multimodal Deep Learning approaches, representation learning, etc