Sort by
Refine Your Search
-
on developing new generative modeling approaches, scalable training algorithms, and foundation model technologies. The role is suited for candidates with a strong machine learning background who are excited
-
the process itself shapes disease states at cellular and molecular scales. By combining AI innovation with RNA-focused, context-aware biology, SATURNA seeks to establish actionable principles of disease
-
and newly developed peripheral urban centres. Tasks and responsibilities WP1 - Environmental indicators and remote sensing Develop and harmonise Earth Observation workflows using Sentinel-1/2, Landsat
-
and movement data, and advanced behavioral data analysis. A second, complementary position will focus more specifically on clinical and implementation aspects of the project. Although the project uses
-
by connectome-constrained artificial neural networks. Candidates from outside the field of neuroscience are encouraged to apply, but must be curious, persistent, and passionate to delve
-
using machine learning approaches to uncover principles of cellular state transitions. The work will be carried out in close collaboration with other labs at EPFL, offering a uniquely rich environment
-
which cells sense, adapt, and respond to their environment. We study free-living unicellular organisms as model systems. Using microscopy, quantitative measurements, and molecular perturbations, we seek
-
neuroscience using implanted interfaces Expertise in electrophysiology techniques, including in vivo recordings of neuronal activity (local field potentials), EMG recordings Experience with complex surgical and
-
stacks. Unlike typical high-level networking roles, this project requires "bare-metal" intervention, programming the firmware and drivers that decide how and when data moves. Role & Profile You will lead