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statistical methods for genetic and genomic data analysis; proven ability to build and maintain collaborative networks across academia, industry, and international partners; strong organizational skills and the
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, functionalization of electrode surfaces for catalytic applications, additive manufacturing of pharmaceutical materials, microsensors for in vivo usage and sustainable materials from biomass. Researchers here thus
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collaborations both within academia and with industry partners, both nationally and internationally. The work environment is characterized by commitment, collaboration, creativity and personal responsibility
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(mathematics, statistics, AI&ML, systems engineering). Supervise and support PhD students and postdocs involved in joint projects. Help establish new collaborations with industry and public-sector stakeholders
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supporting in acquiring funds for future research projects from research funding agencies/councils, EU framework program or industry. You will be working in the field of robotic autonomy and all activities