Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- ;
- University of Cambridge
- DAAD
- Imperial College London
- Susquehanna International Group
- McGill University
- Prof. Ruilin Pei and Shenyang University of Technology
- Purdue University
- The University of Alabama
- University of Minnesota
- University of Nebraska–Lincoln
- University of Texas at Austin
- 2 more »
- « less
-
Field
-
identification of spider mite infestation foci and needs-based beneficial insect application in outdoor cucumber cultivation’, which is funded by the BMBF within the funding programme KMU-innovativ: Bioökonomie
-
novel sensing approaches to combine with machine learning algorithms to solve real-world problems in food manufacturing. You will have sound knowledge in electronic engineering, embedded systems design
-
animals, while Prof Durbin's works on computational genomics and large scale genome science, including the development of new algorithms and statistical methods to study genome evolution. Moving forward
-
measurements at on- and offshore wind farms and a high-performance computing cluster. Almost all our projects combine analyses at more than one of these infrastructures. Further information is available
-
advanced statistical machine learning, reinforcement learning, and gen-AI-driven decision models for supply chain and operations optimization. • Design scalable algorithms for demand forecasting, risk
-
the Excellence Engineer Education and Training Program. It has outstanding advantageous disciplines. Among them, the specialty of Electrical Machinery ranks high in China, and multiple disciplines
-
tools. * Familiarity with tensorflow and/or pytorch. * Demonstrated ability to design and implement machine learning techniques and algorithms. * Demonstrated expertise in the Linux computing environment
-
our software development team, developing novel scientific algorithms and applications in the areas of spectroscopic analysis and mining of the science data catalogues extracted from the pipelines
-
skills and be interested in developing a collaborative program of applied research in robotics. For example, this may include sensor development, applied robotic perception, algorithm development, or other
-
solutions using first motion. Experience in full waveform inversion using innovative tools (e.g. ISOLA) and methods (ML), earthquake location algorithms, computer programming and geophysical equipment