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for publications. Job Requirements: PhD in organic chemistry At least 5 years of experience in synthetic organic chemistry and/or asymmetric catalysis as PhD/post-doc in advanced institutions. Solid analytical
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computing. With extensive experience in medical image analysis, computer vision, and AI systems through collaborations with leading institutions. Key Responsibilities: Conduct advanced research in the areas
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labelling and integrated geobiological data analysis. Analytical approaches implemented can include a multitude of advanced molecular, microscopically and geochemical techniques and protocols such as
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molecular mechanisms linking CVD and cancer progression. Apply cutting-edge techniques including spatial transcriptomics and single-cell multiomics and integrate multi-omics data to identify therapeutic
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/ machine learning algorithms to support research in the IDMxS Analytics Cluster. The RF will apply/ improve machine learning algorithms to process (e.g., classify, predict) data collected by IDMxS. Help
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International. The candidate will develop a new tool that Fidelity will adopt to provide targeted support for its customers to fill the financial advice gap. Responsibilities include data analysis, developing
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are recorded and stored for analytical purposes. However, due to limited resources available to replicate study objects, we usually only have a few subjects. In this situation, the data dimension p is close
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for candidates who combine field experimentation with advanced data analytics and system integration. We invite applicants to join us as a Research Fellow (full-time). You will be part of the Fraunhofer-NTU
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collaborative research environment that exemplifies IDAI's distinct approach to interdisciplinary data science and AI research. Person Specification PhD (or near completion) in Computer Science, Data Science, AI
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for interdisciplinary collaborations. The position additionally offers travel support for conferences and meetings and a monthly housing allowance. Qualifications • Qualifications/ Discipline: PhD in Physics, Data