Sort by
Refine Your Search
-
Category
-
Country
-
Employer
- Plymouth University
- University of Texas Rio Grande Valley
- University of Birmingham
- Zintellect
- INESC ID
- Northeastern University
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- University of Arkansas
- Nanyang Technological University
- University of British Columbia
- University of Nottingham
- Center for Drug Evaluation and Research (CDER)
- Durham University
- National University of Singapore
- Naturalis
- Politécnico de Leiria
- Simons Foundation;
- The University of Queensland
- Universidade do Minho
- University of Algarve
- University of Bergen
- University of Minho
- University of Sheffield
- Barnard College
- Center for Biologics Evaluation and Research (CBER)
- City of Hope
- Cornell University
- FEUP
- INESC TEC
- Instituto de Engenharia Mecânica
- James Madison University
- Lawrence Berkeley National Laboratory
- Monash University
- Montana State University
- Newcastle University;
- Pennsylvania State University
- Queen's University Belfast
- SciLifeLab
- Simons Foundation/Flatiron Institute
- The University of Chicago
- The University of Southampton
- UCL EE
- UNIVERSITY OF HELSINKI
- UNIVERSITY OF SOUTHAMPTON
- UiT The Arctic University of Norway
- Universidade de Coimbra
- University of Glasgow
- University of Manchester
- University of Nevada, Reno
- University of New Mexico
- University of Nottingham;
- University of Oslo
- University of Otago
- University of Sussex;
- University of Texas at Austin
- University of Turku
- Virginia Tech
- Weill Cornell Medicine - Chandwani Laboratory
- York St John University
- 49 more »
- « less
-
Field
-
, NORTE2030, under notice MPr-2023-7, under the following conditions: Scientific Area: Electronics and Computer Engineering or related areas. Recipient category: The open position is for candidates holding a
-
, accumulated deformations, and their impact on structural performance, particularly for compression members. Develop data-driven reusability assessment platforms integrating NDT data, machine learning models
-
commercialisation in the UK of AI-empowered autonomous machines and systems which are envisioned as transforming manufacturing productivity and sustainability, enabling a net positive future by empowering people
-
Inverse Methods and Ionospheric Modelling Research Fellow - School of Engineering - 106995 - Grade 7
to completion) relevant to empirical modelling (any discipline), machine learning (any discipline), inverse methods (any discipline), ionospheric modelling and/or ionospheric measurement techniques, radio
-
porphyry copper deposits. In this role, you will develop and apply machine-learning models to predict mineralisation using accessory minerals such as zircon and apatite, with a particular focus on
-
that are only partially met by the development of special purpose classical computing units. This has motivated a recent interest in using quantum computing to machine learning tasks, in particular to clustering
-
you meet the essential criteria outlined in the knowledge, qualifications, training, skills and experience elements of the job description in your supporting statement. Following the closing date
-
cost-effective and environmentally friendly Tusker Car Benefit Scheme, allowing you to lease a brand-new electric or hybrid vehicle with savings on tax and National Insurance. There is a genuine
-
for studying binding and dynamical structure of DNA, RNA and proteins. Scientific questions in projects can involve, for example, studying specificity in transcription factor – DNA binding, detecting protein
-
metal dichalcogenides are promising platforms for next-generation quantum and electronic devices, where atomic defects play a crucial role in determining functionality. This project develops a machine