Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Carnegie Mellon University
- AALTO UNIVERSITY
- The University of Chicago
- CNRS
- ETH Zürich
- Jane Street Capital
- Radix Trading LLC
- Tilburg University
- University of Bremen
- University of Newcastle
- University of Oxford
- Aarhus University
- BIOMEDICAL SCIENCES RESEARCH CENTRE "ALEXANDER FLEMING"
- Chalmers University of Technology
- Duke University
- European Commission - Joint Research Centre
- Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial
- Instituto de Sistemas e Robótica (ISR)
- Istituto Italiano di Tecnologia
- LIVERPOOL JOHN MOORES UNIVERSITY
- Luxembourg Institute of Science and Technology
- NOVA.id.FCT- Associação para a Inovação de Desenvolvimento da FCT
- National University of Singapore
- Northeastern University
- Pennsylvania State University
- Radboud University
- Rochester Institute of Technology
- Technical University of Munich
- The University of Iowa
- UNIVERSITAT POMPEU FABRA
- Universidade de Vigo
- Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH
- University of Cambridge;
- University of Cantabria
- University of Florida
- University of Luxembourg
- University of Miami
- University of Sheffield
- University of South-Eastern Norway
- University of Texas Rio Grande Valley
- Vrije Universiteit Amsterdam (VU)
- Wageningen University & Research
- 32 more »
- « less
-
Field
-
. This position provides an excellent opportunity for a recent PhD graduate interested in clinical research, tobacco regulatory science, public health, biomedical engineering, behavioral science, toxicology
-
). Desirable assets are: • Machine learning, deep-learning, artificial intelligence, advanced statistical inference; • A solid record of research activities, including relevant publications in international peer
-
, Machine Learning, or Smart Energy Publication record in peer-reviewed journals or conferences, commensurate with stage of career Good programming skills in Python, R, Java, or Matlab Experience
-
for using AI to develop social engineering attempts. This project combines human subject research of learning and decision making, Human-Computer Interaction, and the advancement in AI methods
-
processes. • Apply machine learning techniques and advanced statistical analysis to extract knowledge from complex datasets. • Participate in the evaluation and optimisation of high-performance scientific
-
nanocrystals, hybrid perovskites and 2D materials. Development of new data-driven approaches for studies of optoelectronic properties using EM, including machine learning / machine vision algorithms. The balance
-
nutrition, such as: analysis of time series data and dynamic processes, where signals and responses evolve over time. statistical modelling, AI, and machine learning on large epidemiological cohorts, diet and
-
rooms in the Nordic countries are located in the Micro- and nanotechnology centre Micronova. Doctoral Researcher in Digital Integrated Circuits We are now looking for a Doctoral Researcher (PhD student
-
University, the Communicable Diseases Agency Singapore (CDA), the National Environment Agency Singapore (NEA), the Machine Learning & Global Health Network (MLGH), and wider regional and global partners. Key
-
companies. Hybrid & Data-Driven Modeling: Apply machine learning and hybrid physics-AI approaches to model industrial systems, accounting for physical constraints, sensor noise, and heterogeneous datasets