Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Portugal
- Germany
- France
- Spain
- Netherlands
- Sweden
- Denmark
- Singapore
- Italy
- Belgium
- Australia
- China
- Norway
- Poland
- United Arab Emirates
- Canada
- Austria
- Finland
- Switzerland
- Morocco
- Czech
- Hong Kong
- Ireland
- Luxembourg
- Japan
- Macau
- Romania
- Brazil
- Vietnam
- New Zealand
- Croatia
- Greece
- Lithuania
- Estonia
- India
- Taiwan
- Cyprus
- Andorra
- Israel
- South Africa
- Mexico
- Bulgaria
- Saudi Arabia
- Malta
- Latvia
- Worldwide
- Slovenia
- Europe
- Kenya
- Malaysia
- Germany / Finland
- Kyrgyzstan
- Sao Tome and Principe
- Ukraine
- 46 more »
- « less
-
Program
-
Field
- Computer Science
- Medical Sciences
- Economics
- Biology
- Engineering
- Science
- Business
- Mathematics
- Materials Science
- Education
- Psychology
- Chemistry
- Arts and Literature
- Environment
- Earth Sciences
- Social Sciences
- Humanities
- Law
- Linguistics
- Electrical Engineering
- Physics
- Sports and Recreation
- Philosophy
- Design
- Statistics
- 15 more »
- « less
-
how alterations in brainstem circuits contribute to the onset and progression of Alzheimer’s disease. Murine translational models will be used. Electrophysiology and monosynaptic viral tracing will be
-
measured depends on clinical decisions that vary between hospitals, physicians, and patient states. As a result, previous models have struggled to generalise beyond the hospital they were trained on. We
-
computational modelling and non-invasive brain stimulation. The focus of this project will be on advanced versions of transcranial alternating current stimulation (tACS), targeting multiple brain areas in
-
models. The candidate will be jointly supervised by Dr. Iris Groen (www.irisgroen.com ) and Prof. Cees Snoek (https://www.ceessnoek.info/ ). Want to know more about our organisation? Read more about
-
Sharing – Building a federated data space to enable responsible data integration and cross-project learning. AI & Modelling – Using shared data to power advanced models that help describe and predict
-
and validation of a predictive pipeline for excipient–biologic interactions Integration of experimental SAXS data with AI-driven structural modeling to predict oligomerization behavior and excipient
-
Job related to staff position within a Research Infrastructure? No Offer Description Development of theoretical models to describe the collective migration of immune cells Development of models
-
facilities for model making and digital print to support architectural education. You will be a member of Technical Services Team providing first and second line support to students and staff. You will make a
-
Università degli Studi di Padova - Dipartimento di Biomedicina Comparata e Alimentazione | Italy | 29 days ago
to be used as inputs for the ecological forecasting models Where to apply Website https://pica.cineca.it/unipd/ Requirements Additional Information Eligibility criteria Eligible destination country/ies
-
Description Context Federated learning (FL) enables models to learn from distributed datasets across diverse clients (e.g., edge devices, hospitals, or industrial sites) while maintaining privacy [1]. A major