Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Norway
- France
- Sweden
- Netherlands
- Denmark
- Portugal
- Germany
- Belgium
- Singapore
- Spain
- Ireland
- Poland
- Australia
- Finland
- Italy
- Canada
- Estonia
- Japan
- Switzerland
- Austria
- Czech
- Luxembourg
- Romania
- United Arab Emirates
- Andorra
- Barbados
- China
- Latvia
- Malta
- Saudi Arabia
- 22 more »
- « less
-
Program
-
Field
- Computer Science
- Engineering
- Medical Sciences
- Biology
- Economics
- Science
- Materials Science
- Business
- Earth Sciences
- Mathematics
- Chemistry
- Linguistics
- Electrical Engineering
- Environment
- Social Sciences
- Education
- Law
- Psychology
- Arts and Literature
- Philosophy
- Physics
- Humanities
- Sports and Recreation
- 13 more »
- « less
-
sustainable materials management. The schedule is primarily Monday through Friday, 8:00 a.m. to 4:30 p.m., with an occasional Saturday, offering a consistent and predictable work routine. The successful
-
experimental verification of several RNA systems that can regulate gene expression, control enzyme proximity, sense product yields, and do molecular computations for feedback control. The successful candidate
-
scientific project NALUNG at Rīga Stradiņš University. “The NALUNG (Multi-Omics Analysis for Predicting Response and Adverse Events to Neoadjuvant (NA) Treatment in Re-sectable Non-Small Cell Lung Cancer
-
., Dunson, D.B., Vehtari, A., & Rubin, D.B. (2013). Bayesian Data Analysis (3rd ed.). Chapman and Hall/CRC. https://doi.org/10.1201/b16018 Does thalamic control of entorhinal cortex contribute to circuit
-
. You will set the agenda in optical imaging for health technology and contribute to flagship initiatives that improve patient outcomes through prediction, prevention, early diagnosis, and treatment
-
facilities as well as to a home-built transfer stage equipped with imaging tools. You will work in close collaboration with our theoretical team. Your experiments will test and challenge the predictions of our
-
and industry. You will set the agenda in optical imaging for health technology and contribute to flagship initiatives that improve patient outcomes through prediction, prevention, early diagnosis, and
-
identification, i.e. learning of models from measured data, and iii) real-time control, e.g. using the model predictive approach. We are working on several projects with industrial partners across the energy
-
parameters using experimental muscle and neural recordings Explore motor control policies that replicate observed behaviours Test simulation predictions against muscle ablation experiments Investigate how
-
project is dedicated to the characterization of causative mutations in patients suffering from auto-inflammation. Our aim is to characterize the structural determinants that control the activation