Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- AALTO UNIVERSITY
- Susquehanna International Group
- Duke University
- Technical University of Munich
- UNIVERSITY OF HELSINKI
- Carnegie Mellon University
- Centre Tecnològic de Telecomunicacions de Catalunya (CTTC)
- KINGS COLLEGE LONDON
- Nature Careers
- New York University
- The Ohio State University
- UNIVERSIDAD POLITECNICA DE MADRID
- Universite de Moncton
- Aarhus University
- Academic Europe
- Brookhaven Lab
- Brookhaven National Laboratory
- CNRS
- Drexel University
- Edmund Mach Foundation
- Emory University
- Forschungszentrum Jülich
- Heraeus Covantics
- Leibniz
- Lunds universitet
- Michigan State University
- National Renewable Energy Laboratory NREL
- SINTEF
- Technical University of Denmark
- UNIVERSITY OF SYDNEY
- Universidad de Alicante
- University of Alabama, Tuscaloosa
- University of Cambridge;
- University of Florida
- University of Massachusetts Medical School
- University of Minnesota
- University of Newcastle
- University of Oxford
- University of Sheffield;
- University of Sydney
- University of West Bohemia
- Virginia Tech
- 32 more »
- « less
-
Field
-
learning tools to recommend reaction conditions for the synthesis of novel TRPA1 inhibitors. The project “A machine learning approach to computer assisted drug design” is led by Docent Juri Timonen
-
capabilities with a deep understanding of trading to design, validate, backtest, and implement statistical and advanced machine learning models. Your work will span a range of initiatives, including large-scale
-
/Administrative Internal Number: 527353 Pay Grade/Pay Range: Minimum: $62,300 - Midpoint: $81,000 (Salaried E10) Department/Organization: 214251 - Electrical and Computer Eng Normal Work Schedule: Monday - Friday
-
Computer-adaptive methods and multi-stage testing Application of machine learning in psychometrics Predictive modeling of educational data Methodological challenges in cohort comparisons Advanced meta
-
adapt advanced machine learning frameworks (SPARKS and CEBRA) for supervised and unsupervised analysis of high-dimensional neural data to decode multisensory information Investigate how neural
-
+to+apply#Howtoapply-Eligibility) a Master’s degree in Artificial Intelligence, Machine Learning, Computer Science, Cognitive Science, Psychology or a related field excellent knowledge in AI and at least one
-
within the broad topics of modelling tool-workpiece interaction in mechanical material removal processes, zero-defect manufacturing, machining system performance characterization as well as on-machine and
-
University explores synergies between nonlinear control theory and physics informed machine learning to provide formal guarantees on performance, safety, and robustness of robotic and learning-enabled systems
-
at Aalto University (https://into.aalto.fi/display/endoctoralsci/How+to+apply#Howtoapply-Eli… ) a Master’s degree in Artificial Intelligence, Machine Learning, Computer Science, Cognitive Science
-
) platforms used in machine learning, big data and artificial intelligence (AI) based applications (CPUs, GPUs, AI accelerators etc.) require high power demands with optimized power distribution networks (PDNs