ARQUIMEA, we are a technology company operating globally and providing innovate solutions and products in highly demanding sectors. Our areas of activity are Aerospace, Defense & Security, Big Science, Biotechnology and Fintech. Main function and scope:
Institute for bioengineering of Catalonia, IBEC Organisation/Company Institute for bioengineering of Catalonia, IBEC. Research Field Biological sciences. Researcher Profile Recognised Researcher (R2). Positions Postdoc Positions. Application Deadline 31 Jul :59 (Europe/Madrid). Country Spain. Type of Contract
Universidad de Deusto - Investigación Lea atentamente toda la información sobre esta oportunidad y luego utilice el botón de solicitud de abajo para enviar su CV y su candidatura. Job description General call for Grants allocated
Job Description ¿Tiene las cualificaciones y habilidades adecuadas para este trabajo? Descúbralo a continuación y pulse en solicitar para ser considerado. General call for Grants allocated to research projects or groups to pursue Doctoral Studies. Universidad
Job Description ¿Tiene las cualificaciones y habilidades adecuadas para este trabajo? Descúbralo a continuación y pulse en solicitar para ser considerado. General call for Grants allocated to research projects or groups to pursue Doctoral Studies. Universidad
Universidad de Deusto - Investigación Lea atentamente toda la información sobre esta oportunidad y luego utilice el botón de solicitud de abajo para enviar su CV y su candidatura. Job description General call for Grants allocated
Organisation/Company ARQUIMEA RESEARCH CENTER Research Field Other Researcher Profile First Stage Researcher (R1) Application Deadline 31 Dec 2027 - 22:59 (UTC) Country Spain Type of Contract Permanent Job Status Full-time Is the job funded through the
The Doctoral Candidate will be expected to develop Machine Learning tools that enable automated, objective and efficient identification, classification and quantification (ICQ) and spatial mapping of meso- and macro-scale defects in composite materials, through training on coupled
The Doctoral Candidate will be expected to develop Machine Learning tools that enable automated, objective and efficient identification, classification and quantification (ICQ) and spatial mapping of meso- and macro-scale defects in composite materials, through training on coupled