Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
Biosustain) Recent progress in our ability to read and write genomic code, combined with advances in automation, analytics and data science, has fundamentally changed the scope and ambition of harnessing
-
) including advance SAXS data analysis and modelling . The following qualifications are also important: Have a good understanding of advanced physical-chemical analytical techniques Experience with in-house
-
analytical skills in model evaluation Experience in advanced statistical analysis of results Experience with crop model calibration and evaluation, such as DSSAT, APSIM, or equivalent Insight into analyzing
-
to software engineering, robotics, and artificial intelligence. The Software Engineering section encompasses a range of research areas in software development, data analytics, and intelligent systems, and it
-
expected to involve approximately equal measure of analytical, computational, and exploratory work. You are expected to help advance the theoretical understanding, e.g., by development of new theoretical
-
of nanoscale devices, and theoreticians employing a wide palette of analytical and numerical techniques to provide better understanding of and control over the fundamental properties of light-matter interactions
-
analytics and decision-making; Designing energy-efficient, low-latency communication strategies; Publishing high-impact research and contributing to outreach and dissemination activities. In addition, you
-
together with basic and integrative neuroscience within the CNAP research groups. Applicants should be able to demonstrate knowledge and experience within pain research. Excellent analytical and problem
-
encompasses a range of research areas in software development, data analytics, and intelligent systems, and it plays a key role in several ongoing European projects. Our workplace is truly international and