Oportunidades Públicas

Fecha de Creación	Descripción	Mentor(es)	Acciones
10/05/2024	Keywords: Mechanobiology microfabrication cell mechanics bioengineering Prerequisites: No prerequisites Available vacancies: 2/3 Class Code Initials: IBM This opportunity uses a Nota 1-7 evaluation method and is worth 10 credits Microfabrication of devices for mechanobiology investigation of cellular forces In this Ipre, we are looking for students from biomedical engineering or mechanical engineering careers to create microfabricated devices to study the mechanics of cells, including cancer cells. The student will have the opportunity to aid high-impact science while learning cutting-edge bioengineering technologies in a dynamic and international environment. Dedication and passion for science and biomedical engineering are the main requisites. Keywords: Mechanobiology microfabrication cell mechanics bioengineering Prerrequisitos: Sin prerrequisitos Vacantes disponibles: 2/3 Siglas iniciales: IBM Tiene un método de evaluación Nota 1-7, con 10 créditos	Andrea Ravasio	Ver
10/05/2024	Keywords: Mechanobiology microfabrication cell mechanics bioengineering Prerequisites: No prerequisites Available vacancies: 1/3 Class Code Initials: IBM This opportunity uses a Nota 1-7 evaluation method and is worth 10 credits Engineering devices to study the mechanics of cell We are looking for one dedicated student to work on a mechanobiology project aiming to investigate short-range cellular forces involved in regulating cell mechanics. The student will fabricate devices using cutting edge microfabrication tools and will aid a PhD student in performing microscopy experiments involving epithelial and cancer cells. The student will have the opportunity to aid high-impact science while learning cutting-edge bioengineering technologies in a dynamic and international environment. Dedication and passion for science and biomedical engineering are the main requisites. Keywords: Mechanobiology microfabrication cell mechanics bioengineering Prerrequisitos: Sin prerrequisitos Vacantes disponibles: 1/3 Siglas iniciales: IBM Tiene un método de evaluación Nota 1-7, con 10 créditos	Andrea Ravasio	Ver
17/12/2025	Experimental Analysis and Modeling of Collective Cancer Cell Migration This project offers the opportunity to analyze experimental data from a cancer cell migration assay and translate the findings into a computational model, extending an existing Julia-based framework for simulating collective cell migration (see: https://doi.org/10.1039/c5ib00092k; https://doi.org/10.1101/2025.08.28.672905). The student will learn to process and analyze migration data, then implement it within a simulation platform using Julia or Python—modifying and expanding the model, performing parameter sweeps, and exploring how mechanical interactions influence emergent collective behaviors. We seek motivated and independent students committed to applying computational tools to improve our understanding of cancer progression. Let me know if you'd like it more specific about the type of migration assay or the analysis steps involved. Keywords: Mechanobiology cancer Julia computational modeling Prerequisites: No prerequisites Available vacancies: 1/2 Class Code Initials: IBM PhD students who will assist in mentoring for this research opportunity: Ignacio Montenegro This opportunity uses a Nota 1-7 evaluation method and is worth 10 credits Análisis Experimental y Modelado de la Migración Colectiva de Células Cancerosas Este proyecto ofrece la oportunidad de analizar datos experimentales de un ensayo de migración de células cancerosas y traducir los hallazgos en un modelo computacional, extendiendo un marco existente basado en Julia para simular la migración colectiva de células (ver: https://doi.org/10.1039/c5ib00092k; https://doi.org/10.1101/2025.08.28.672905). El estudiante aprenderá a procesar y analizar datos de migración, para luego implementarlos dentro de una plataforma de simulación utilizando Julia o Python, modificando y ampliando el modelo, realizando barridos de parámetros y explorando cómo las interacciones mecánicas influyen en los comportamientos colectivos emergentes. Buscamos estudiantes motivados e independientes, comprometidos con la aplicación de herramientas computacionales para mejorar nuestra comprensión de la progresión del cáncer. Keywords: Mechanobiology cancer Julia computational modeling Prerrequisitos: Sin prerrequisitos Vacantes disponibles: 1/2 Siglas iniciales: IBM Estudiantes de doctorado que ayudarán mentoreando en esta investigación: Ignacio Montenegro Tiene un método de evaluación Nota 1-7, con 10 créditos	Andrea Ravasio	Ver
17/12/2025	Building a Multi-Cell Migration Model with Intercellular Interactions This project aims to develop a new multi-cell computational model from scratch, incorporating intercellular interactions, geometric constraints, and emergent collective dynamics. The conceptual basis draws from https://doi.org/10.1073/pnas.1521151113 and https://doi.org/10.1101/2025.08.28.672905. The student will design agent-based rules and implement efficient, object-oriented code capable of handling cell–cell forces, boundary constraints, interaction radii, and events such as extrusion or collision avoidance. Best suited for students with a computational engineering or software background. Biological knowledge is not required; computational rigor, independence, and motivation to contribute to cancer research are essential. Keywords: agent based Mechanobiology cancer computational modeling Prerequisites: No prerequisites Available vacancies: 2/2 Class Code Initials: IBM PhD students who will assist in mentoring for this research opportunity: Ignacio Montenegro This opportunity uses a Nota 1-7 evaluation method and is worth 10 credits Construcción de un Modelo Multicelular de Migración con Interacciones Intercelulares Este proyecto busca desarrollar desde cero un modelo computacional multicelular que incorpore interacciones intercelulares, restricciones geométricas y dinámicas colectivas emergentes. La base conceptual proviene de https://doi.org/10.1073/pnas.1521151113 y https://doi.org/10.1101/2025.08.28.672905. El estudiante diseñará reglas basadas en agentes e implementará código eficiente y orientado a objetos capaz de manejar fuerzas entre células, límites espaciales, distancias de interacción y eventos como extrusión o evitación de colisiones. Es una oportunidad ideal para estudiantes con formación en ingeniería computacional o áreas afines. No se requiere conocimiento biológico; sí rigurosidad computacional, independencia y motivación para contribuir a la investigación en cáncer. Keywords: agent based Mechanobiology cancer computational modeling Prerrequisitos: Sin prerrequisitos Vacantes disponibles: 2/2 Siglas iniciales: IBM Estudiantes de doctorado que ayudarán mentoreando en esta investigación: Ignacio Montenegro Tiene un método de evaluación Nota 1-7, con 10 créditos	Andrea Ravasio	Ver