Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
The candidate should preferably have a PhD in Computer Science or Robotics with a solid background on deep learning and 3D scene understanding. Experience with LiDAR and Computer Vision is a plus. The candidate
-
% women; three continents represented). The strengh relies in coupling: Single-cell microfluidics Quantitative (image) analysis Mathematical modelling Microbiology Molecular biology We approach science with
-
or voltage imaging and behavior data Create robust analysis pipelines to process large-scale time-series datasets Test and develop new methodologies to extract meaningful patterns from complex neural data
-
(bio-)chemistry, physics, and engineering expertise to study molecules and cells, taking advantage of optical and single-molecule imaging, molecular probes, molecular biology, and 'large' data analysis
-
of interest include, but not limited to: Computational and Systems Biology Medical and Health Informatics Personalized Medicine Foundation AI Models Multi-omics and Integrative Data Analysis Population-level
-
interventions. Research areas of interest include, but not limited to: Computational and Systems Biology Medical and Health Informatics Personalized Medicine Foundation AI Models Multi-omics and Integrative Data
-
various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
-
Sciences, Climate Change. Environmental Science and Engineering and policy Developing sustainable technologies: paradigm shifts needed to face the most urgent environmental challenges facing human societies
-
and skill in programming with MATLAB or Python. Research experience in MEG, in vivo electrophysiology, in vivo two-photon/miniscope imaging, slice electrophysiology, and mouse brain surgery is desired
-
Discrete geometric representations such as meshes are a crucial part of engineering simulation pipelines. The success and fidelity of numerical methods heavily depend on the accurate representation