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should have a strong background in organoid models, in particular advanced organoid imaging and analysis methods. Individuals who are highly motivated and willing to develop innovative new techniques
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innovation in this domain. It should also outline your interest in being a PhD candidate at the Department of Data Science & AI and why this particular project interests you. Stage 2: Candidates who pass this
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content to support participant recruitment and public engagement. Participate in research meetings, data analysis, dissemination activities, and other laboratory projects as needed. Required Qualifications
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the analysis of large-scale genomic data and in particular the spatial and molecular organization of the human URL. His team is entirely computational and aims at decoding the cellular hierarchies and
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Background information about the project: Our team recently won the Metascience Novelty Indicator Challenge . We have been developing a method that uses Large Language Models (LLMs) to analyze
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Project Brief This is an exciting opportunity to undertake cutting-edge research in partnership with Ricardo UK. The PhD project will focus on developing next-generation combined axial–radial flux
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 2 months ago
, with a focus on LSF and DGS. Rather than concentrating only on the final translation model, the PhD will address the upstream components that are essential for reliable sign-to-text translation: data
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of experimental research methods; • Basic skills in statistics and data analysis; • Proficiency in at least one scientific programming language (R, MATLAB, or Python); • Strong analytical and organizational
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. If you possess hands-on experience in cell culture, molecular biology, or data analysis, that is fantastic—but please note that we do not expect you to master all these technologies on day one. We
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the integration of wearable and mobile technologies into clinical research workflows, human-centered design of healthcare software, and the collection, management, and analysis of health data from sensor-based and