Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Germany
- Australia
- Singapore
- Spain
- Netherlands
- France
- Austria
- Canada
- Belgium
- Sweden
- Switzerland
- Denmark
- Poland
- Italy
- Portugal
- United Arab Emirates
- Finland
- Japan
- Morocco
- China
- Hong Kong
- Malta
- New Zealand
- Romania
- Croatia
- Czech
- Luxembourg
- Egypt
- Greece
- Norway
- Saudi Arabia
- Andorra
- Brazil
- Bulgaria
- India
- Ireland
- Armenia
- Cyprus
- Estonia
- Slovakia
- Slovenia
- South Africa
- 34 more »
- « less
-
Program
-
Field
-
Assistent position in the research group Bioinformatics and Computational Biology headed by Ivo Hofacker. Our team works on the development of algorithms and methods for problems in Computational Chemistry
-
and expressing the mathematical properties of existing algorithms in preparation for publication and peer review. The algorithms are written, tested, and functioning. Timeline is ~3 months. Compensation
-
wide range of numerical and machine learning (ML) computer algorithms as applied to reservoir engineering and geophysical imaging. This includes the simulation of thermal-hydro-mechanical-chemical (THMC
-
system-level grid-connected LDES models for grid support Research, design and development of control algorithms for optimal operation of grid-integrated LDES; Develop a co-simulation framework to analyse
-
, manuscript preparation, meeting with collaborators, etc. In particular, the Research Scientist hired for this position is expected to develop AI algorithms for the directed evolution of proteins with a
-
-board Payload Signal and Data Processing algorithms and techniques for RF payloads and instruments in close collaboration with TEC-ED; and Time and frequency references, modelling, design tools
-
an outstanding reputation in research, teaching, and student employability. Our internationally recognised research covers Algorithms and Complexity, Artificial Intelligence and Human Systems, Networks, Scientific
-
are inherently highly complex. In this research project you will use state of art AI-based optimization algorithms to develop new functionality into industry-relevant digital design tools (CAD) to support
-
, implementation, and testing of a wide range of numerical and machine learning (ML) computer algorithms as applied to reservoir engineering and geophysical imaging. This includes the simulation of thermal-hydro
-
or related fields past experience with Machine Learning algorithms and systems past experience with robot control and operation programming experience with ROS, C/C++, Python and/or PyTorch experience in