Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Forschungszentrum Jülich
- Eindhoven University of Technology (TU/e)
- University College Cork
- Oak Ridge National Laboratory
- CNRS
- Chalmers University of Technology
- Nature Careers
- University of Southern Denmark
- AI4I
- Barcelona School of Economics
- Bucharest Universty of Economic Studies
- Czech Technical University in Prague
- Durham University
- Fondazione Bruno Kessler
- George Washington University
- Heriot Watt University
- IMT Mines Ales
- Istituto Italiano di Tecnologia
- Leibniz
- NEW YORK UNIVERSITY ABU DHABI
- NIOZ Royal Netherlands Institute for Sea Research
- NTNU - Norwegian University of Science and Technology
- SUNY University at Buffalo
- Stanford University
- Tilburg University
- UNIVERSITY OF HELSINKI
- University of Colorado
- University of Minnesota
- University of Oxford
- Université Paris Cité
- Uppsala universitet
- XIAN JIAOTONG LIVERPOOL UNIVERSITY (XJTLU)
- 22 more »
- « less
-
Field
-
to the effective computation of the data and numerical simulation. Where to apply Website https://resurseumane.ase.ro/non-gaussian-self-similar-processes-enhancing-mathe… Requirements Research
-
heroin self-administration. Analyze synaptic mechanisms using western blot, RT-qPCR, immunohistochemistry, and electrophysiology (in collaboration). Characterize structural adaptations (dendrites, spines
-
, manufacturing) by creating applications for critical systems, adaptive and autonomous systems, advanced perception, diagnostics, quality control, and prediction systems. Further research areas include precision
-
an adaptive, self-optimising manufacturing ecosystem where production lines can reconfigure in real-time, in collaboration with domain experts (e.g. operators, planners, designers) that are supported by digital
-
Profile: A Master`s degree and an excellent PhD degree in Biochemistry, Chemistry, or a related Molecular Science Proven Track Record in Machine Learning, Molecular Simulations, Chemoinformatics
-
into the core of manufacturing workflows, dynamically adapting to shifting conditions with enhanced human decision making. FLARE's mission is to create an adaptive, self-optimising manufacturing ecosystem where
-
an adaptive, self-optimising manufacturing ecosystem where production lines can reconfigure in real-time, in collaboration with domain experts (e.g. operators, planners, designers) that are supported by digital
-
into the core of manufacturing workflows, dynamically adapting to shifting conditions with enhanced human decision making. FLARE's mission is to create an adaptive, self-optimising manufacturing ecosystem where
-
include, but not limited to, one or more of the following: Design and implement system software to enable AI-readiness for scientific data by developing adaptive techniques capable of maintaining
-
, Safety, and Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A PhD degree in Computer