279 developer-"https:" "https:" "https:" "CNRS " positions at Johns Hopkins University
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
NIST CHIPS R&D Metrology project that aims at developing measurement methodologies for the detection and identification of very low concentration of contaminants in liquid environments. The focus area
-
that is selected for this position will be part of a team of engineers and researchers conducting research and development (R&D) activities focused on accelerating the development of artificial intelligence
-
preferred) to develop analytical tools needed to monitor and characterize micro and nanoplastic (MNP) particles. The applicant will use commercial optical photothermal infrared (OPTIR) microscopy and other
-
of this project is two-fold: first, to innovate low-phase and amplitude noise frequency synthesis techniques spanning from radio frequencies to the optical regime; and second, to develop advanced analog and digital
-
base and knowledge of lab research and relevant assays. Train users in standard equipment operation and routine lab techniques and procedures. Set-up experiments based on defined standards. Collect
-
departmental goals and articulate a vision for growth. The Director is responsible for the development and oversight of departmental strategic planning to ensure growth and enhancement of clinical, research, and
-
in product development, design strategy, and industry collaboration. Primary Responsibilities 1. Product Design Curriculum Leadership - Serve as lead instructor for the ChemBE Product Design
-
of Biomedical Engineering is seeking an Assistant Research Engineer to lead computer vision and AI development for the VectorCam platform. VectorCam is an AI-enabled mobile imaging system designed to allow
-
for the semiconductor etching process. U.S. Citizen Preferred Key responsibilities will include but are not limited to: - Develop libraries of training data through mining of existing databases and simulation of infrared
-
knowledge to interpret results, e.g. read controls, and evaluate results. Use scientific knowledge and lab experience to evaluate whether component parts of experiments are working as expected. Train/orient