Sort by
Refine Your Search
-
Country
-
Employer
- Cornell University
- Aalborg University
- Eindhoven University of Technology (TU/e)
- FAPESP - São Paulo Research Foundation
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- MUNSTER TECHNOLOGICAL UNIVERSITY
- Stanford University
- Tampere University
- UNINOVA - Instituto de Desenvolvimento de Novas Tecnologias
- UNIVERSITY OF SYDNEY
- University of Lincoln
- University of North Carolina at Chapel Hill
- University of Oslo
- Université de Bordeaux / University of Bordeaux
- 4 more »
- « less
-
Field
-
insights for process optimisation software development, particularly using Python, JavaScript, and HTML/CSS to build tools, automate workflows, and support data-driven decision making excellent communication
-
, Engineering, or a related discipline, with strong programming experience (e.g., Python, JavaScript, MATLAB) and proven capability in developing interactive visualisations or interfaces. You will demonstrate
-
Andres Masegosa (arma@cs.aau.dk), Department of Computer Science. (please see: https://andresmasegosa.github.io/ . The project’s domain PI is Professor Jamal Jokar Arsanjani (jja@plan.aau.dk), Department
-
quality (PM2.5, CO2, Nox, etc.) and energy monitoring (voltages, currents, battery charge/discharge cycles); Proficiency in languages commonly used in IoT, such as C/C++, Python, and JavaScript. Expertise
-
computational methods • Demonstrated programming proficiency (e.g., Python, R, JavaScript, SQL) • Experience working with large, real-world mobility datasets • Ability to collaborate across disciplines and with
-
, Urban Analytics, or related fields Strong expertise in transportation systems modeling and computational methods Demonstrated programming proficiency (e.g., Python, R, JavaScript, SQL) Experience working
-
; - No employment contract, or proof of full unpaid leave, in accordance with FAPESP regulations . Desired Skills: - Proficiency in R, Python, and JavaScript (Google Earth Engine); - Geoprocessing and GIS
-
require the following: Strong programming skills (Python, C++, JavaScript frameworks etc.) Knowledge of digital twin technologies and simulation platforms Knowledge of Deep Reinforcement Learning frameworks
-
participate in the daily life of the team, involving for example the organization of various cultural events for the general public or interventions with students. [1] https://scrime.u-bordeaux.fr/projets-de
-
Internet of Things (Hardware, Node-red, JavaScript) Satellite Image Processing R&D and scientific dissemination Experienced in Portuguese/European research projects, minimum 3 years (Mandatory). Experience