11 application-forms-"https:"-"https:"-"https:" PhD positions at Nature Careers in France
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role The University of Luxembourg invites applications for a fully funded doctoral position in mathematical and computational modelling within the framework of the doctoral training unit Forest Function
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aberrant protein products that have a high propensity to aggregate. This will form the basis of testing various translation modifiers to restore translational dysregulation in these cells. The candidate will
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address domain-specific challenges in biomedical applications. The PhD project will focus on translating and enhancing cutting-edge algorithms from AI research into concrete applications in biomedical
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: Applicants must demonstrate at least B2-level proficiency in the language of their thesis. For details and accepted certificates, please visit the Application for admission - Doctoral Candidates . We offer
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high-risk/high-gain research without any teaching obligations. The successful applicant will be supervised by Decebal Mocanu. For informal enquiries, please contact Your profile BSc (graduated) and MSc
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, NGOs … How to apply Applications should include: Curriculum Vitae Cover letter Early application is highly encouraged, as the applications will be processed upon reception. Please apply ONLINE formally
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strong analytical and problem-solving skills Comfortable working across disciplines and communicating with clinical, technical, and scientific stakeholders Language Requirements: Applicants must
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ICT Services & Applications. Your role The PhD position is part of the CART-4D project, a "Made in Luxembourg" collaboration between the University of Luxembourg and ARSPECTRA . The doctoral candidate
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another quantitative subject are particularly encouraged to apply. Language Requirements: Applicants must demonstrate at least B2-level proficiency in the language of their thesis. For details and accepted
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science, and engineering. The ideal applicant brings not only strong technical skills, but also the mindset needed to thrive in a highly collaborative, interdisciplinary research environment. Master's