Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
synthetic methodology is recommended. • You have good computer and data management skills. • You are fluent in English. • Team-oriented: You enjoy working with others and actively contribute to a safe, open
-
the interactions between the ecological processes, composition, and structure of terrestrial ecosystems, with a clear link to management and policy. ForNaLab is actively involved in numerous national and
-
(soil properties and processes) using appropriate data analysis techniques • develop practical but validated indicators of soil health that can be used directly by farmers and other land managers The PhD
-
the ecological processes, composition, and structure of terrestrial ecosystems, with a clear link to management and policy. ForNaLab is actively involved in numerous national and international projects and
-
closed-loop control. The technology, developed through detailed computer simulations, will be validated with preclinical experiments. The candidate will be part of a multidisciplinary team working towards
-
the email subject before 08/06/2025. If you pass the pre-selection, you will receive further instructions on the selection process and will be invited for an online job interview. We do not accept late
-
processing experimental data in a scientifically sound manner. You are willing to dedicate yourself to this research project for a period of four years. WHAT WE CAN OFFER YOU We offer a full-time position as a
-
internationally. Job profile You hold a Master’s degree in computer science, electrical engineering, (technical) cognitive science, Human-Computer Interaction or areas relevant to the research topic (for example
-
network to unravel and efficiently treat the causes of ectopic mineralization in hereditary and acquired diseases. In this context, the EMRg is the coordinator of this international network on ectopic
-
lies in a unique combination of methodologies, ranging from empirical in-situ observations and experiments, over 3D forest reconstructions, to process-based modelling and remote sensing. How to apply