Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
- Computer Science
- Engineering
- Biology
- Medical Sciences
- Economics
- Science
- Materials Science
- Earth Sciences
- Mathematics
- Business
- Chemistry
- Linguistics
- Electrical Engineering
- Environment
- Social Sciences
- Arts and Literature
- Law
- Physics
- Psychology
- Education
- Philosophy
- Humanities
- Sports and Recreation
- 13 more »
- « less
-
pipelines that push technological boundaries for our clients. The Engineer will tackle complex challenges at the intersection of Large Language Models, Computer Vision, and Predictive Analytics while ensuring
-
exchangers (HX) for optimizing thermal storage in silos. The researcher will deploy conjugate heat transfer CFD models and conduct simulations to provide high-fidelity predictions of available power, charging
-
that integrate prediction and control algorithms, optimizing data transformations, offloading and distributed computing, and exploiting mechanisms such as network slicing and multi-access edge computing
-
at two levels: SAACD Component: This is a UAV made up of hardware and software sub-systems, capable of observing, predicting, deciding and reconfiguring itself to fulfil its mission (e.g. surveillance
-
use cutting-edge techniques leveraging automation and high-throughput methods to generate high-quality and large datasets providing novel insights into improving predictability of in vitro assays
-
strengths: Human Variation and Functional Genomics Metabolic Dynamics and Organ Crosstalk Physiological Control of Metabolic Homeostasis Cardiometabolic Research in Society and Culture Read more about the
-
artificial intelligence. The project will test participant witnesses using a mock witness paradigm. Witnesses will be able to adjust lighting, toggle disguise features, and control viewing angle during lineups
-
energy system models based on the institute`s own open-source FINE framework https://github.com/FZJ-IEK3-VSA/FINE. Your tasks in detail: Implementing geothermal plants with material co-production in
-
driven extinct. Our group uses a combination of mathematical theory and controlled, lab-based experiments to investigate how this feedback between growth and the chemical environment shapes microbial
-
biological applications. You will design and implement models ranging from molecular to process scales, develop model-predictive control and optimization strategies, run high-performance numerical experiments