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include an interview. Applicants must hold a two-year Master’s degree (or equivalent qualifications) and meet the formal requirements for admittance to the Faculty of Social Sciences’ PhD program. The
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in USN’s PhD-program in within three months of accession in the position. About the PhD-project Carbon nanotubes (CNTs) are one of the most interesting nanomaterials due to their remarkable material
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mechanisms linking cardiovascular diseases with cancer and cancer therapies. She uses human-induced pluripotent stem cells (iPSCs), patient-derived samples, genomics, and computational biology to identify
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three years with research duties exclusively. The hired candidate will be admitted to the PhD program in Social Sciences. The education includes relevant courses amounting to about six months of study, a
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. Job Requirements: Preferably PhD in Computer Science or related field. Background and familiarity with the implementation and deployment of machine learning pipelines in embedded systems (e.g., robotic
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 10 days ago
; - Commitment to enrol in a PhD Program in the future and prepare fellowship applications; - Fluent (writing and speaking) in English and Portuguese; - The candidate must demonstrate an interest in the scientific
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Job Description Job Alerts Link Apply now Job Title: Research Fellow (Computational Materials Science) Posting Start Date: 16/07/2025 Job Description: Job Description A postdoc position is available
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This is a theoretical/computational postdoctoral position for the prediction and development of point defects in two-dimensional materials for applications in quantum technologies. Project
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Internal Number: 6415021 Postdoctoral Fellow, Bioinformatics, Brain Tumor Drug Discovery and Development Program University of California Los Angeles Requisition Number: JPF10295 The Brain Tumor Drug
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challenges. It fosters collaborations and develops advanced computational tools through a hub for multi-omics and systems biology. Project description The PhD project aims to explore how multiple layers