| 05-12-2022 |
Image analysis for collective cell migration
Prerequisites:
None.
Evaluation method: Nota 1-7, with 0/3 available vacants |
Mentor(s): Open in the plataform |
| 19-07-2022 |
Prototyping microfabricated devices to study cell mechanics
Prerequisites:
None.
Evaluation method: Nota 1-7, with 0/2 available vacants |
Mentor(s): Open in the plataform |
| 10-06-2022 |
Prerequisites:
None.
Evaluation method: Nota 1-7, with 0/1 available vacants |
Mentor(s): Open in the plataform |
| 25-05-2022 |
Prerequisites:
None.
Evaluation method: Nota 1-7, with 0/3 available vacants |
Mentor(s): Open in the plataform |
| 15-07-2021 |
Mathematical modeling of cancer transformation mechano-types
Prerequisites:
None.
Evaluation method: Nota 1-7, with 0/1 available vacants |
Mentor(s): Open in the plataform |
| 14-12-2020 |
Mathematical and computational modelling of embryonic development, continuation
This iPre is part of an interdisciplinary project that will study a self-organizing collective of two cell types in the early embryo of annual killifish (see image). We will utilize advanced methods from developmental biology, microscopy, image analysis, and microfabrication to track the behaviour of cells in embryos and in vitro culture, and construct mathematical and computational models of their interactions. Our aim is to understand the principle mechanisms that give rise to self-organized emergent behaviour at multiple scales from molecular, through cellular, tissue and ultimately to whole embryo structure. The aim of the iPre project is to develop mathematical and computational models using: Python, C++ and other programming languages Differential equations and partial differential equations Finite elements Computational geometry
Prerequisites:
None.
Evaluation method: Nota 1-7, with 0/1 available vacants |
Mentor(s): Open in the plataform |
| 30-09-2020 |
Prerequisites:
None.
Evaluation method: Nota 1-7, with 0/1 available vacants |
Mentor(s): Open in the plataform |
| 22-07-2020 |
Analysis of biological network connecting the cell/environment interfaces using Cytoscape
The students will use Cytoskape to perform data mining over PubMed, GeneOtology, and other biological repositories of proteins and genes to build a network of biological (signaling and regulatory pathways) and mechanical (mediated by the cytoskeleton) interactions between Focal Adhesions and Adherens Junctions.
Prerequisites:
None.
Evaluation method: Nota 1-7, with 0/3 available vacants |
Mentor(s): Open in the plataform |
| 22-07-2020 |
Prerequisites:
None.
Evaluation method: Nota 1-7, with 0/2 available vacants |
Mentor(s): Open in the plataform |
| 24-03-2020 |
Mathematical and computational modelling of embryonic development
This iPre is part of an interdisciplinary project that will study a self-organizing collective of two cell types in the early embryo of annual killifish (see image). We will utilize advanced methods from developmental biology, microscopy, image analysis, and microfabrication to track the behaviour of cells in embryos and in vitro culture, and construct mathematical and computational models of their interactions. Our aim is to understand the principle mechanisms that give rise to self-organized emergent behaviour at multiple scales from molecular, through cellular, tissue and ultimately to whole embryo structure. The aim of the iPre project is to develop mathematical and computational models using: Python, C++ and other programming languages Differential equations and partial differential equations Finite elements Computational geometry
Prerequisites:
None.
Evaluation method: Nota 1-7, with 0/4 available vacants |
Mentor(s): Open in the plataform |
| 12-12-2019 |
Development of image segmentation pipeline using AI
Students involved in this project will be develop a segmentation pipeline of microscopy images using various standard image processing methods and Artificial Intelligence implements in various licence free programs (e.g. ImageJ, cell profiler). The scope of the project is to compare the pipelines based on 1) object detection accuracy, 2) computational speed and 3) the ease-of-use.
Prerequisites:
None.
Evaluation method: Nota 1-7, with 0/2 available vacants |
Mentor(s): Open in the plataform |