Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- SciLifeLab
- Fraunhofer-Gesellschaft
- Ludwig-Maximilians-Universität München •
- NTNU Norwegian University of Science and Technology
- University of Tübingen
- Aarhus University
- CWI
- Chalmers University of Technology
- Ghent University
- Radix Trading LLC
- Technical University of Denmark
- The Ohio State University
- ; University of Oxford
- ETH Zurich
- Eindhoven University of Technology
- KU Leuven
- Leiden University
- Linköping University
- Max Planck Institute for the Study of Societies •
- Monash University
- NTNU - Norwegian University of Science and Technology
- The University of Iowa
- Universiteit van Amsterdam
- University of Graz
- University of Lethbridge
- University of Potsdam •
- University of Southern Denmark
- Universität Hamburg •
- Utrecht University
- Wageningen University & Research
- 20 more »
- « less
-
Field
-
information The postdoc will be hired at DTU Compute which harbors a strong international machine learning and artificial intelligence environment. In addition, the PI is an ELLIS member. Further information
-
will use machine learning methods to develop affinity ligands. These methods have been transformative for protein design, allowing generation of novel proteins which can suit a precise need. In this 4
-
of Amsterdam. Interested in developing fundamental machine learning techniques for tabular data to democratize insights from high-value structured data? Then this fully-funded 4-year PhD position starting Fall
-
, creativity, rigor, ownership, and excitement to push research in TRL forward. Theoretical knowledge of, or experience with, machine learning such as representation and generative learning, data management, and
-
, Amsterdam and Freiburg, will analyse the impact of blockades on households, states, corporations and the international order; on the development of political and military strategy; on how the wars were
-
synthetic fuel reactors. Tasks include gas handling, system diagnostics, thermal integration, and performance evaluation under variable power inputs. Data Analysis and Machine Learning: Collect and process
-
of embedded machine learning, neuromorphic hardware and deep learning accelerators. Want to get more information? Click here. What you will do Stay engaged with the latest research, experimenting with cutting
-
of embedded machine learning, neuromorphic hardware and deep learning accelerators. Want to get more information? Click here. What you will do Design analog and mixed-signal circuits, such as data converters
-
of embedded machine learning, neuromorphic hardware and deep learning accelerators. Want to get more information? Click here. What you will do The complete design and implementation of analog circuits including
-
of embedded machine learning, neuromorphic hardware and deep learning accelerators. Want to get more information? Click here. What you will do Design innovative memory arrays for non-volatile memories Develop