Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
for data acquisition, storage, and pre-processing. Five Data Cubes will integrate satellite datasets and employ near-real-time server-side algorithms for time-series analysis and the generation of value
-
analysis across time and conditions Algorithm design and modeling. The role offers significant intellectual freedom and opportunities to shape the direction of the research. Minimum Qualifications: • PhD in
-
on understanding how different excitation methods generate polarons and correlated materials in the cuprates and other quantum materials, building on our recent results in the vanadium dioxide (see Johnson et al
-
giving academic presentations. *Trained as a theorist in either condensed matter (CM), atomic, molecular and optical (AMO) physics or in quantum information theory. *Interested in quantum algorithm and
-
contextualized by existing expertise in existing methods and state-of-the-art in the field. The position includes algorithm design, software implementation, and validation on experimental datasets. You will
-
been growing rapidly in recent years, with a focus on creating an inclusive and bottom-up driven research environment. Our workplace consists of a diverse set of people from different nationalities
-
://www.hogberglab.net/ ). You will contribute to the ERC Advanced Grant project qScope , where you will create and improve existing bioinformatic tools and network algorithms to help us to map RNA or protein molecules in
-
information about the university, please visit www.xjtlu.edu.cn . RESEARCH AREAS Currently, we are seeking candidates from different research areas. The more details can be kindly found as below: 1. Industrial
-
be working primarily with scientific machine learning methods, including symbolic regression and neural networks. You will apply the algorithms to the discovery of new models in different fields
-
will be part of a research environment focusing on integrating multi-source satellite remote sensing data and developing novel algorithms to quantify agroecosystem variables for environmental