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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you interested in developing computational Social Network Analysis (SNA) methods
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and detection, coding theory, and optimization. As a PhD student, you devote most of your time to doctoral studies and the research projects of which you are part. Your work may also include teaching or
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diversity of methods across disciplines, from interviews and focus groups, a survey, ethnographic approaches, network and scenario analyses. The team also collaborates with major stakeholders to identify
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candidate/MSCA fellow for the project: “MHT in the 21st century.” The position is part of the EU-funded Marie Skłodowska-Curie Actions Doctoral Network MenoBrain “Brain Health in Menopausal Women” with full
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, a survey, ethnographic approaches, network and scenario analyses. The team also collaborates with major stakeholders to identify strategies to address polarisation towards a sustainable transition in
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collaborations with different international research networks. Additional qualifications Experience in programming languages (Python, C, Fortran, etc.) and with numerical codes for fluid dynamics is a merit
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, including two work visits to collaborators. Engagement with international research networks. Qualifications: We are looking for a highly motivated and team-oriented individual with: · An MSc degree
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About the EU MCSA DN project StraDiVarious StraDiVarious (Strains, Diagnostics and Variants) (www.stradivarious.eu) is a European-wide intersectoral doctoral training network focused on emerging
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biofilm-related infections in orthopaedic implants: from in vitro to in vivo models Join the prestigious Marie Skłodowska-Curie Actions Doctoral Network SHIELD (Strategies for Healing Implant-associated
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peptides as an infection control strategy in bone conduction hearing implants Join the prestigious Marie Skłodowska-Curie Actions Doctoral Network SHIELD (Strategies for Healing Implant-associated infections