Sort by
Refine Your Search
-
. The program involves close collaborations with experts in theory and data science and will benefit from frequent interactions with principal investigators at the National Synchrotron Light Source II (NSLS-II
-
. POSITION REQUIREMENTS: Required Knowledge, Skills, and Abilities: Ph.D. in Electrical Engineering, Computer Engineering, Computer Science, Physics, Material Science, or related discipline. Demonstrated
-
, and Abilities: Experience in NGS library preparation and data analyses. Bioinformatic/programming skills (MatLab, Python, R, etc). Experience in application of Artificial Intelligence/Machine Learning
-
, enhanced by machine-learning and data-driven analysis techniques. Additionally, the study will encompass electrically triggered events that mimic the voltage-based signaling of biological synapses
-
computational resources for data analysis. This position offers a dynamic, collaborative environment, engaging with experts across plant biology, microbiology, structural biology, and computational sciences and
-
of existing ones for scientific applications; (ii) Large Language Models (LLMs) and multi-modal Foundation Models (iii) Large vision-language models (VLM) and computer vision techniques; and (iv) techniques
-
genetic manipulations of metabolism. Integrate and interpret gene expression and other omics data. Devise strategies to redirect carbon from sugars into desired product. Collaborate with researchers from
-
and relevant data analysis. • Demonstrated experience in Python programming. • Knowledge of machine-learning algorithms. Additional Information: BNL policy requires that after obtaining a PhD
-
to unique data sources, will ensure that the successful candidate has the necessary resources to solve challenging DOE problems of interest. The successful candidate will join a growing research group with
-
facilities, as well as collaboration opportunities with domain scientists and security experts. Access to these platforms will allow computing at scale, and together with access to unique data sources, will