Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Institute for bioengineering of Catalonia, IBEC
- Nature Careers
- AALTO UNIVERSITY
- The Ohio State University
- FCiências.ID
- CIIMAR - Interdisciplinary Center of Marine and Environmental Research - Uporto
- Carnegie Mellon University
- DAAD
- Virginia Tech
- Cornell University
- Drexel University
- East Carolina University
- East Tennessee State University
- Edmund Mach Foundation
- Florida International University
- Free University of Berlin
- Fundació Hospital Universitari Vall d'Hebron- Institut de recerca
- Harvard University
- Institute for Basic Science
- KINGS COLLEGE LONDON
- Luxembourg Institute of Science and Technology
- Michigan State University
- National Renewable Energy Laboratory NREL
- New York University
- Purdue University
- Texas A&M AgriLife
- UNIVERSITY OF HELSINKI
- UNIVERSITY OF SYDNEY
- Universidade Lusófona´s Research Center for Digital Human-Environment Interaction Lab
- University of Agder (UiA)
- University of California Irvine
- University of Colorado
- University of Innsbruck, Institute of Computer Science
- University of Kansas
- University of Limoges (France), Nokia & Iscte-IUL (Portugal)
- University of Minho
- University of Oregon
- University of Oxford
- University of Sydney
- University of Utah
- Vrije Universiteit Amsterdam
- Wayne State University
- Xavier University of Louisiana
- 33 more »
- « less
-
Field
-
modeling, environmental simulations, and digital twin systems. -Develop analytical tools, visualization platforms, and decision-support dashboards to improve research outcomes. -Ensure data quality through
-
will contribute to projects focused on developing advanced machine learning models to quantify phenotypic traits of crops, including corn, soybean, and other selected species. These models will leverage
-
well as emerging materials. These experimental techniques will be complemented by advanced electromagnetic modelling. Responsibilities and qualifications The ideal candidate will possess demonstrated expertise in
-
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
-
for Bioengineering of Catalonia (IBEC) is seeking a highly motivated Pre-doctoral Researcher to join an exciting PhD project focused on modeling human tauopathies. The successful candidate will work with mouse models
-
evaluation of publications in ISI / SCOPUS: journals in the research area of information management, definition of requirements, modelling rules, and information standardization, PQ = up to 100 points
-
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
-
biology, field- and experimental work, bioinformatics and statistical modeling. The successful candidate will apply cutting-edge genomic tools to disentangle ecological adaptation and spatiotemporal trends
-
; Knowledge of stable isotope techniques and methodologies - information provided in the CV and/or in the motivation letter; Experience in data analysis and ecological modelling (GLM, GLMM and the like