Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
addition, the Group also develops novel detection techniques including machine learning to improve radiation detection and nuclear security and safeguards. Position Description The Radiation Detection and
-
operation of particle or nuclear physics detectors Experience in applying machine learning to scientific problems Experience in distributed computing, workflow management and/or data management software
-
artificial intelligence (AI) and machine learning (ML) methodologies and interested in advancing these tools for accelerating the analysis of the big data acquired by electron microscopy. • You work
-
analysis of atmospheric numerical model output (e.g., WRF, PALM, SAM) Experience with machine learning and artificial intelligence techniques Experience with predictive modeling Environmental, Health
-
that incorporate latest machine-learning algorithms). Furthermore, the successful candidate will collaborate broadly with the other members of IO and CFN, leveraging their expertise in design and fabrication
-
advancing the development of machine-learned interatomic potentials (MLIPs) for nanomaterials and applying them to model complex systems. Your work will involve close collaboration with scientists
-
, 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
-
of relevant work experience as a post-doc and/or in an R&D position, excluding time associated with family planning, military service, illness or other life-changing events. Candidates must havereceived a PhD
-
, 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
-
, adhering to a Design-Build-Test-Learn methodology for integrated research. Within the Schwender group, the primary objective is to assess the outcomes of metabolic engineering endeavors aimed at enhancing