Oportunidades de Investigación Públicas

Public Research Opportunities

11-12-2023
Prerequisites:  None.

Evaluation method: Nota 1-7, with 0/3 available vacants

Mentor(s): Open in the plataform
07-12-2023
Keywords:       automatización IMPRESION 3D
Prerequisites:  None.

Evaluation method: Nota 1-7, with 0/1 available vacants

Mentor(s): Open in the plataform
05-06-2023 Workers' positioning and task identification system for offsite construction industries
Offsite construction industries have become appealing because of their time efficiencies, safety, and reduced waste. Although this new trend promotes the previously mentioned advantages, they still face some significant challenges, such as tracking and monitoring the current state of the component being built. In order to address this challenge, the current undergraduate research project proposes developing and implementing a worker's positioning and activity identification system. The information to accomplish these aims is retrieved from four load cells (LC) and four inertial measurement units (IMUs). The sensor data should be acquired and pre-processed by a microcontroller, sending that information to a computer. The computer uses pre-processed information to identify the workers' positions and their current activities.
Prerequisites:  None.

Evaluation method: Nota 1-7, with 0/1 available vacants

Mentor(s): Open in the plataform
19-07-2021 Open Hardware for the plate-deposition of microfluidic droplets
The sorting of microfluidic droplets allows the experimental handling of millions of molecular biology experiments in a day. If cells in droplets are to be further cultivated, it is necessary to collect and individualise them, which can be done in a well-plate or on a rotating round culture plate. In this project, the aim is to develop such a droplet deposition system using prototyping methods, literature examples, and open source hardware.
Prerequisites:  None.

Evaluation method: Nota 1-7, with 0/1 available vacants

Mentor(s): Open in the plataform
19-07-2021 Development of an open hardware based wide field computational microscope for pollen recognition
Development of a working low-cost computational wide-field microscope for honey-pollen imaging (remotely at home) and analysis of generated data with MatLab or Python. A 3D printed prototype already exsists based on the publication 'Low-cost, sub-micron resolution, wide-field computational microscopy using opensource hardware’. Students should already have basic experience with prototyping and coding.
Prerequisites:  None.

Evaluation method: Nota 1-7, with 0/1 available vacants

Mentor(s): Open in the plataform