651 phd-position-in-data-modeling-"UCL"-"UCL" Postdoctoral positions in United Kingdom
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amenable to therapeutic targeting. This position will involve the application of advanced data science approaches to explore large-scale clinical datasets extracted from electronic health records, with
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social media analysis, smartphone-based sensing, and agent-based modeling. Combining macro-level patterns with micro-level behavioral data, it will examine how polarized content influences stress, anxiety
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. Previous experience in atomic physics/modelling is desirable, as well as knowledge of IDL/Python/FORTRAN/C++ programming. Further information about the Astrophysics Group can be found at http
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develop an analytical framework to achieve the grant objectives. The post holder will model ecological niches of feeding and breeding grounds in extant whale migratory species, for which occurrence data
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, and enabling data-driven improvements in patient care. You will have opportunities to apply foundation models—including large language models (LLMs) to real-world clinical data. You will work with well
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POSTDOC POSITION IN ADVANCED COATING OF LFP MATERIALS – IN COLLABORATION WITH THE UNIVERSITY OF WATERLOO, CANADA 12772 We are seeking a highly motivated Postdoctoral Research Associate (PDRA
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to underfill at Grade 6 (£34,982 - £40,855 p.a.) if candidate holds a relevant degree and is working on PhD/DPhil) together with established knowledge in computer architecture and hardware security, significant
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related field, (with the possibility to underfill at Grade 6 (£34,982 - £40,855 p.a.) if candidate holds a relevant degree and is working on PhD/DPhil) together with established knowledge in computer
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.) if candidate holds a relevant degree and is working on PhD/DPhil) together with established knowledge in wired computer networks and sustainable computing, significant coding experience (both Python and C/C
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funded by UKRI EPSRC and is fixed term for 12 months. You will be contributing to joint UKRI EPSRC – NSF CBET project on sustainable computer networks, with a focus on carbon emissions reduction and