486 parallel-computing-numerical-methods-"Simons-Foundation" Postdoctoral positions in United Kingdom
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) Established Researcher (R3) Country United Kingdom Application Deadline 2 Oct 2025 - 00:00 (UTC) Type of Contract Other Job Status Part-time Is the job funded through the EU Research Framework Programme? Not
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or machine learning methods to tackle predictive questions. Proficiency in building and validating statistical methods and/or machine learning techniques in R or Python are also essential. Applicants
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used in our work centre around optical imaging and spectroscopy and nanofabrication. The work also relies on theory and simulation, specifically focusing on numerical mean-field electrostatics
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on understanding the spread and control of human infectious diseases using modelling and pathogen genomics. This is a short-term opportunity to apply machine learning methods to two key projects. First, you will
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culture and molecular methods like PCR. A track record of publication and strong scientific writing skills. The ability to work both independently and collaboratively within a multidisciplinary team. A
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postdoctoral researcher with an excellent command of demography and its methods, for a period of six years. The candidate's PhD thesis should focus on a topic relevant to the department, such as fertility and
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Responsibilities To undertake training to run CONDOR simulations and in biophysics as required. To run and analyse CONDOR simulations on our high-performance computing cluster. To develop a deep-learning model for
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. The successful applicant will support a multi-institutional team of computational biologists, immunologists and microbiologists to fully characterise the role of, and the interactions between, bacteria genotype
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4 Sep 2025 Job Information Organisation/Company KINGS COLLEGE LONDON Research Field Computer science Psychological sciences Researcher Profile Recognised Researcher (R2) Established Researcher (R3
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culture and molecular methods like PCR. A track record of publication and strong scientific writing skills. The ability to work both independently and collaboratively within a multidisciplinary team. A