-
that are calibrated to measurement data. We are motivated by applications in engineering in which the system models are partial differential equations (PDEs) with potentially infinite-dimensional (e.g., space-dependent
-
diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
-
, scATAC-seq), spatial transcriptomics and high-throughput imaging, thus a keen interest in learning single cell/spatial data analysis is critical. Your profile: You hold a PhD in Biology, (Bio)medical
-
/ Deep Learning (particularly Computer Vision or 3D perception) Verification & Validation (V&V) of advanced algorithms, software or systems Formal Methods Safety Engineering / Safety-Critical Systems
-
for artificial intelligence in life sciences, we benefit from high-throughput computing infrastructure to support advanced data analysis and integration. Profile We are looking for a motivated postdoctoral
-
-scale screens to study fundamental principles in molecular and complex trait genetics using microbes as model systems. Our core technology MAGESTIC (https://doi.org/10.1038/nbt.4137 ), a CRISPR/Cas9-based
-
Computer Science, Information Theory, Physics or related fields High level of mathematical maturity Experience with topics related to quantum LDPC codes and decoding algorithms, or demonstrated ability and
-
. Background information The urinary bladder plays a crucial role in storing and releasing urine, controlled by complex neural pathways. As the bladder fills, sensory signals arise in its wall and inform
-
):5766-5783 Iwata et al. Science (2023) 379: 1-9.doi:10.1126/science.abn4705 Vanderhaeghen P, Polleux F. Nat. Rev. Neurosci. (2023) 24, 213-232 Profile We are seeking a highly motivated individual with a