Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
- Computer Science
- Engineering
- Medical Sciences
- Biology
- Economics
- Science
- Materials Science
- Mathematics
- Earth Sciences
- Business
- Chemistry
- Linguistics
- Environment
- Arts and Literature
- Electrical Engineering
- Physics
- Social Sciences
- Psychology
- Education
- Humanities
- Law
- Philosophy
- Sports and Recreation
- 13 more »
- « less
-
and increased uncertainty in life and non-life insurance modelling. data-driven prediction of insurance premiums and associated quantification of uncertainty. Qualifications and personal qualities
-
simulations of compact binaries (including, for example, binary black holes, binary neutron stars, and black hole–neutron star binaries). The broader goals are to generate accurate predictions for gravitational
-
a team of 3 postdocs and 3 PhD students, who will work on design, characterization, and experimental verification of several RNA systems that can regulate gene expression, control enzyme proximity
-
integrating modeling, machine learning (ML), and advanced control methodologies. The research will focus on designing AI-driven algorithms to assess battery health, predict degradation trends, and optimize
-
paradigm. Witnesses will be able to adjust lighting, toggle disguise features, and control viewing angle during lineups, creating a memory-congruent identification environment. The project will examine
-
partner from data sciences provides data management and AI based Image analysis, an internal simulations group working on quantitative models to reproduce and predict experimental data, and an internal
-
a team of 3 postdocs and 3 PhD students, who will work on design, characterization, and experimental verification of several RNA systems that can regulate gene expression, control enzyme proximity
-
, that e.g., allow to predict relevant dynamics for plasma control, or allow a full simulation of a discharge by using an integrated approach with suitable fidelity, are not mature yet. In very recent years
-
Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
. Scientific Environment The Nonlinear Systems and Control group (https://www.aalto.fi/en/department-of-electrical-engineering-and-automation/nonlinear-systems-and-control ) in the School of Electrical
-
broader community. We take pride in delivering exceptional service, sharing our expertise, and upholding the highest standards to ensure a world-class campus experience. Please visit us at: https