Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- AALTO UNIVERSITY
- Institute for bioengineering of Catalonia, IBEC
- Nature Careers
- The Ohio State University
- Carnegie Mellon University
- DAAD
- FCiências.ID
- Michigan State University
- National Renewable Energy Laboratory NREL
- New York University
- University of Oxford
- University of Utah
- Virginia Tech
- Brno University of Technology, Central European Institute of Technology
- CIIMAR - Interdisciplinary Center of Marine and Environmental Research - Uporto
- CSIRO
- Cornell University
- Drexel University
- Edmund Mach Foundation
- Florida International University
- Fundació Hospital Universitari Vall d'Hebron- Institut de recerca
- Fundación IMDEA Nanociencia
- Heraeus Covantics
- KINGS COLLEGE LONDON
- King's College London
- Purdue University
- Technical University of Denmark
- Texas A&M AgriLife
- The University of Queensland
- UNIVERSITY OF HELSINKI
- UNIVERSITY OF SYDNEY
- University of Alabama, Tuscaloosa
- University of California Irvine
- University of Cambridge
- University of Colorado
- University of Houston
- University of Houston Central Campus
- University of Limoges (France), Nokia & Iscte-IUL (Portugal)
- University of Minnesota
- University of Oregon
- University of Pittsburgh
- University of Porto
- University of Sydney
- Wageningen University & Research
- Wageningen University and Research Center
- Xavier University of Louisiana
- 36 more »
- « less
-
Field
-
of preclinical models. Collaborate with other projects of the group, by promoting fruitful discussions or by helping in experimental work Participate in general activities of the group Support the principal
-
MATCH Doctoral Network, a Marie Skłodowska-Curie Actions (MSCA) project funded by the European Union, is currently recruiting highly motivated candidates for fully funded PhD positions across top
-
on developing advanced machine learning models to quantify phenotypic traits of crops, including corn, soybean, and other selected species. These models will leverage data collected from various sources, such as
-
modeling, environmental simulations, and digital twin systems. -Develop analytical tools, visualization platforms, and decision-support dashboards to improve research outcomes. -Ensure data quality through
-
contribute to the design and development of Machine Vision approaches for the quantitative analysis and phenotyping of agricultural systems: Training/Development of computational models for the quantitative
-
learning models that can be utilised by health services to make real-time, data-informed clinical decisions in youth mental health care. Your key responsibilities will be to: recruiting study participants
-
data science methods to build explainable and integrated machine learning models that can be utilised by health services to make real-time, data-informed clinical decisions in youth mental health care
-
degeneration using knock-in models of inherited retinal diseases, and contributing to the development of novel therapeutic platforms. The successful candidate will conduct independent and collaborative research
-
direction of the laboratory. Duties & Responsibilities Project Leadership & Innovation Conceive, design, and direct highly complex research projects involving murine models, de-identified human samples, and
-
students’ academic and mental health outcomes. Job responsibilities include: Conducting descriptive and advanced statistical analyses (including multilevel modeling) on extant and merged datasets using SAS