Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
spatial variability of soil health. You will be contributing to specifically the area of using proximal and remote sensors, soil physical, chemical and biological data, as well as plant and weather data
-
Europe in electrochemistry, energy storage, power electronics, process engineering, smart sensors, IoT, and solar power. Together, we pursue the common goal of accelerating the decarbonization of energy
-
meetings Potentially participate in Arctic field campaigns Be working with large data sets and developing algorithms. You should be highly motivated, self-driven, and possess strong work ethics, team spirit
-
spatial variability of soil health. You will be contributing to specifically the area of using proximal and remote sensors, soil physical, chemical and biological data, as well as plant and weather data
-
-disciplinary involving algorithmics, stochastic optimization, multi-criteria decision making, and data science. As part of the project, you will implement and test algorithms and further develop your skills in
-
outperforms previous magnetoresistive devices by orders of magnitude, and ii) assess its potential for applications, including magnetoresistive sensors. Responsibilities and qualifications The primary tasks
-
-extrusion 3D printing and 3D bioprinting. Topics include: 3D printable soft electronics for bio-hybrid tissues with embedded sensors Functional Bio-matrices for embedded bioprinting of perfusable tissue
-
, and treatment in the financial sector, including taxation and insurance, are changing as professionals work more with algorithms. The two advertised positions are part of a sub-project on Algorithmic
-
Post Doctoral Researcher in Digital Twins CO2-to-Protein production in collaboration between the ...
twinning for production and process optimization. A first-of-its-kind pilot factory is now based at Aarhus University (AU Viborg), and has been equipped with about 200 sensors and a production management
-
to assess stakeholder needs, create PV-integrated sensors to monitor agriculture-specific stressors, model stress impacts on PV performance, and develop innovative PV tracker controls. These elements will be