- Formation Bio (New York, NY)
- …and real-world evidence validation Strong experience with LLMs, Graph Neural Networks, and multi-modal data integration (-omics, RWD, literature) Experience ... with large-scale biobank data and genomics (UK BioBank, FinnGen, AllofUs) Background working at the intersection of data science, product development, and business strategy in pharma/biotech Formation Bio is prioritizing hiring in key hubs, primarily the New… more
- Google (New York, NY)
- …and algorithms + Experience in Machine Learning (Graph Convolutional Networks, Deep Neural Networks, Transformers etc.) or related fields. + Contribution to research ... communities or efforts, including publishing papers at conferences (such as NeurIPS, ICML, CVPR, SIGGRAPH etc.). **Preferred qualifications:** + Experience in large language models or graph mining research. + Experience in research leadership. + Proven track… more
- Global Foundries (Malta, NY)
- …offers a unique opportunity to engage in advanced system-level analysis of Neural Processing Unit (NPU) architectures. The ideal candidate should possess a solid ... foundation in digital design principles, including memory systems and parallel processing. Familiarity with RTL design using Verilog or VHDL, as well as experience with synthesis flows and physical design tools, is essential. Additionally, proficiency in… more
- University at Albany (Albany, NY)
- …tracking and sensory stimuli presentation. This integration of multi-region neural activity with rich contextual information enables researchers to dissect ... systematic manner, bridging levels of analysis from microcircuits to large-scale neural networks. As neuroscience becomes increasingly data-driven, the need for… more
- University at Albany (Albany, NY)
- …that leverages advanced, interdisciplinary methodologies. Successful candidates would bridge neural and cognitive levels of analysis, through multi-modal data ... development of computational frameworks that jointly explain behavior and neural dynamics. Expertise in modeling neural data...behavior and neural dynamics. Expertise in modeling neural data and developing methods to compare biological and… more
- Mount Sinai Health System (New York, NY)
- …as well as patients with diagnosis of compulsivity (eg, OCD); behavioral and neural findings related to the neural basis of decision-making. **Qualifications** ... processes (ie, based on Bayesian inference algorithms) jointly with neural models of cortico-basal ganglia dynamics (ie, based on... models of cortico-basal ganglia dynamics (ie, based on neural recordings) can shed a light on these compromised… more
- Rockefeller University (New York, NY)
- …the level of both individuals and species. We examine how learning rapidly shapes neural pathways to allow each member of a species to respond appropriately to their ... unique experience of the world. We also consider how neural circuits are adapted over longer evolutionary time scales to give rise to species-specific behaviors. Our… more
- Meta (New York, NY)
- …has grown out of the acquisition of CTRL-labs. We're building a practical neural interface drawing on the rich neuromotor signals that can be measured non-invasively ... bottlenecks between user intent and action.EMG signals are similar in many ways to other neural signals and audio signals and can be analyzed using many of the same… more
- Pfizer (New York, NY)
- …Linear Models & Simultaneous Equations. You also have experience in the use of Neural Network models for sales forecasting and GAN models. + Expertise in statistical ... algorithms. + Expertise in a wide variety of techniques such as neural nets, deep neural nets, boosted trees, support vector machines. + Algorithm development in… more
- Binghamton University (Binghamton, NY)
- …+ Performing in vivo calcium imaging experiments aimed at understanding how neural circuits generate complex behaviors in pre-adolescent, adolescent, and adult mice ... interpreting data - applying systems neuroscience approaches to examine high-dimensional neural data. Approaches used include neural network-based approaches,… more
