-
. The immunological work is supported by a vast collection of patients and control subjects accomplished by Dr. Mignot’s group and collaborators. We also offer opportunities to participate in collaborations with other
-
and supervising interdisciplinary teams will be advantageous. The appointee will be responsible for developing and refining scientific protocols, overseeing data collection and analysis using advanced
-
State Key Laboratory of Ultrasound in Medicine and Engineering, Chongqing Medical University. | Spain | 20 days ago
research in focused ultrasound therapy, aiming to achieve breakthroughs in acoustic physics, ultrasound biology, multimodal imaging, intelligent treatment, and clinical big data. Our mission is to develop
-
interdisciplinary team of physician researchers, epidemiologists, environmental scientists, biologists, and engineers working in a developing research site in coastal Eastern Indonesia. Data collection pipelines in
-
Postdoctoral Fellowship represents a unique opportunity to advance surgical care through innovative applications of data science and artificial intelligence. This interdisciplinary fellowship is designed
-
for developing and refining scientific protocols, overseeing data collection and analysis using advanced statistical software (e.g., SPSS, STATA, R), and ensuring compliance with international standards. He/She
-
of physiologic waveforms collected from neonatal, pediatric, and/or adult patients in clinical care settings. These data may include arterial blood pressure waveforms, pulse oximetry, photoplethysmography, ECG
-
and terms of employment are in accordance with the collective agreement between the Danish Confederation of Professional Associations and the state (AC collective agreement) (only in Danish) and
-
. Interest in children's language, attention, or learning, and enthusiasm for working with naturalistic, child-centered data collected in homes, classrooms, and other everyday environments. Strong
-
. Current projects span diverse populations (cross-cultural work, children who are deaf/hard-of-hearing) and data collection settings (preschools, homes) using a variety of methods (child-centered wearables