Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
for remote applications: A crucial aspect of this project will be the optimization and deployment of developed signal processing and machine learning algorithms onto resource-constrained edge devices
-
Seabed to SPace: Identifying and quantifying plastic litteR with Innovative remote sensing Technologies”, SSPIRIT for short, funded by Flanders Innovation & Entrepreneurship (VLAIO contract HBC.2024.0752
-
GIS technology are highly recommended. Database: The successful candidate will contribute to our project database. Specific Requirements You will perform field work in European archives and on
-
command of English; very good Spanish, Dutch (or German) and ideally also French language skills will be necessary to be able to read your sources. Basic skills in IT and GIS technology are highly
-
analysis: Applying geospatial methods (GIS mapping, geographically weighted regression, spatial clustering) and temporal approaches (time-series analysis, distributed lag models, case-crossover designs
-
for NCDs. This will involve: Spatial analysis: Mapping and modelling environmental exposures at fine spatial resolution using GIS tools, geographically weighted regression, and spatial clustering techniques
-
objectives (e.g. geography, biology, epidemiology and public health). The person recruited will have competence in statistical analysis and GIS, experience or at least interest in carrying out field work and
-
leading universities, research institutes, and industrial partners in Europe. SpecX focuses on the future of large-scale spectrum sensing, wireless communication, and intelligent IoT connectivity
-
, or mobile access points in real environments; employing spatial analysis, prototyping, and sensing-based observation as methodological tools. 2. Designing User-Centric, Co-Created Wireless Infrastructures
-
, enabling to fabricate components with spatially controlled material properties. Within this PhD topic, the main objective is the development of a multi-modal spectroscopic sensing system enabling the in-situ