Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Nature Careers
- HONG KONG BAPTIST UNIVERSITY
- DAAD
- Duke University
- Technical University of Munich
- The University of Chicago
- CNRS
- Carnegie Mellon University
- Harvard University
- University of Cambridge;
- Binghamton University
- Bucharest Universty of Economic Studies
- Cornell University
- Fundació per a la Universitat Oberta de Catalunya
- King's College London
- Purdue University
- University of Florida
- University of Luxembourg
- University of Massachusetts Medical School
- University of Nebraska–Lincoln
- University of Texas at El Paso
- ;
- AALTO UNIVERSITY
- Aarhus University
- Academic Europe
- Babes-Bolyai University
- Brunel University
- CIC nanoGUNE
- CIIMAR - Interdisciplinary Center of Marine and Environmental Research - Uporto
- Chalmers University of Technology
- City University of Hong Kong
- Columbia University
- Faculty of Sciences of the University of Porto
- Fondazione Bruno Kessler
- Fraunhofer-Gesellschaft
- George Mason University
- Hong Kong Polytechnic University
- Institute for Basic Science
- Institutionen för akvatiska resurser
- Josep Carreras Leukaemia Research Institute (IJC)
- LIP - Laboratório de Instrumentação e Física Experimental de Partículas
- Lehrstuhl für Nachhaltige Thermoprozesstechnik und Institut für Industrieofenbau und Wärmetechnik
- Leibniz
- Luxembourg Institute of Science and Technology
- Massachusetts Institute of Technology (MIT)
- Maynooth University
- MedUni Vienna
- Michigan State University
- NTNU - Norwegian University of Science and Technology
- Northeastern University
- Oak Ridge National Laboratory
- RCSI - Royal College of Surgeons in Ireland
- Swedish University of Agricultural Sciences
- The University of Iowa
- The University of Newcastle
- UNINOVA - Instituto de Desenvolvimento de Novas Tecnologias
- UTIA, Czech Academy of Sciences, Prague.
- Universidad de Alicante
- Universidade de Coimbra
- Universidade de Trás-os-Montes e Alto Douro
- University of A Coruña
- University of Bergen
- University of Cambridge
- University of Jyväskylä
- University of Miami
- University of Oklahoma
- University of Oxford
- University of South Carolina
- University of St. Thomas
- University of Texas Rio Grande Valley
- University of Toronto
- VSB - Technical University of Ostrava
- Vrije Universiteit Amsterdam
- 63 more »
- « less
-
Field
-
PhD Scholarship Develop multimodal machine learning models to predict glioblastoma treatment outcomes using imaging and clinical data. Work with real-world data from John Hunter Hospital in a
-
University of Massachusetts Medical School | Worcester, Massachusetts | United States | about 2 hours ago
. Lab Research: • AI-Driven Algorithms & Software: Develop deep leering/machine learning/statistical based algorithms to elucidate lncRNAs, fusion transcripts, RNA modifications, and circular RNAs in
-
within the project AI4TECSWriting a doctoral dissertation in computer sciencePublishing research findings in leading international conferences and high‑impact journals in AI, machine learning, and
-
-intensive physics with nuclear/particle aspects, advanced detector R&D, machine learning and AI and emerging computational methods in quantum computing. The position is intended for an excellent and broadly
-
outcomes research and real-world data analytics, with a strong publication record. Proficiency in advanced data analytics, machine learning, and statistical modeling. Job Description: The Department
-
understand, explain and advance society and environment we live in. Your role The University of Luxembourg invites applications for a fully funded Ph.D. position in machine-learning force fields (MLFFs
-
cybersecurity research. Who you are: You have BS in machine learning, cybersecurity, statistics, or related discipline with ten (10) years of experience; OR MS in the same fields with eight (8) years
-
alloys for energy applications in harsh environments using additive manufacturing. This research involves integrating computational modeling, machine learning, and experimental investigations to design and
-
, towards future colliders. Cutting-edge machine learning developments for classical and quantum computational platforms are pursued in the group to benefit particle physics and beyond. Experience Candidates
-
Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how