Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
- Computer Science
- Engineering
- Medical Sciences
- Biology
- Economics
- Science
- Materials Science
- Mathematics
- Business
- Earth Sciences
- Chemistry
- Linguistics
- Electrical Engineering
- Environment
- Social Sciences
- Arts and Literature
- Education
- Law
- Physics
- Psychology
- Philosophy
- Humanities
- Sports and Recreation
- 13 more »
- « less
-
for a talented and motivated postdoctoral fellow to join the Genome Re-InnovaTion Lab (https://grit-lab.org), part of the Synthetic Biology Translational Research Programme at the National University
-
machine-learning approaches for the analysis and integration of complex neural and movement data, supporting new insights into the mechanisms underlying human motor control and rehabilitation. About the
-
on stability. Testing the model in standard stirred tank apparatus Refining the model to allow predictability between different types of apparatus. Defining an algorithm for testing enzyme stability
-
international research institution with high academic standards and an interdisciplinary work environment, developing forecasting systems and tools for conflict predictions? The Peace Research Institute Oslo
-
Reference Number AE2025-0573 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2025-0573.pdf CALL FOR
-
- Very good command of English; a grounding in German We offer Valuable work, generously rewarded Remuneration and prospects Remuneration that corresponds to pay grade E 13 of the wage agreement
-
and prediction of hydrological change. The process based studies focus on climate and hydrological exchange processes and encompass a wide range of advanced data sampling tools and developing
-
, enhancements, optimizations, and new modules or software while also ensuring they complete adequate change control and testing processes. Team members work on a vast array of projects that propel MM
-
quantitative predictions testable against empirical data from diverse ecological contexts. We use methods from theoretical evolutionary biology, including optimal control theory, life history modelling, adaptive
-
significant computational resources for centralized processing. Second, the existing centralized, terrestrial-based control infrastructure cannot scale with the increasing number of airborne sensors due