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Materials Design. This environment will facilitate the development of new skills and the demonstration of creativity and leadership. Expertise in structure solution using powder and/or single crystal X-ray
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infrastructure for sharing and analysing personal data - including human genomic data - in compliance with privacy and security regulations. As a Project Manager Human Data, you will drive the development of a
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. Responsibilities and Opportunities for Skill Development Development of optical high-throughput assays for functional screens to dissect GPCR signaling Using fluorescence and FRET/BRET-based reporters of GPCR
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Discovery group of Professor Reinhard Maurer. This project will focus on the development of novel machine learning representations of electronic structure and quantum operators. These surrogate models will be
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PROFESSIONAL DEVELOPMENT Research and study leave Research start-up funding French language training program University-level teaching skills development activities Professional development and sabbatical leave
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development of novel technologies to study this problem. We are especially interested in growing our expertise in epitranscriptomics, RNA biology, single-cell/spatial approaches, microenvironment, and
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while driving strategic development and scientific progress across its remit. Why AFBI? This is an extraordinary opportunity to lead a world-class Institute that delivers meaningful scientific impact
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aims to deliver world class regulation and improved outcomes for UK patients. We are currently looking for an experienced Principal Scientist (NMR) – Molecular Analysis to join our Research & Development
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Postdoctoral Researcher Position in Ecological Knowledge-Guided Machine Learning at Aarhus Univer...
groups and QGG Mentorship and support in developing independent research directions Support for grant writing and professional development a workplace characterised by professionalism, equality and a
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. Côte d’Azur & INRIA), will be focused on the development and the understanding of deep latent variables models for unsupervised learning with massive heterogenous data. Although deep learning methods and