672 computer-programmer-"IMPRS-ML"-"IMPRS-ML"-"IMPRS-ML" PhD positions in United Kingdom
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Field
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candidates with a background in meteorology, climatology, physics, and any related discipline, and a strong interest in applying advanced physical and computational methods to real-world challenges in the area
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interest to a wide range of industries such as electric transportation, & investigating their properties & degradation is important. At Research Associate level: To carry out research programmes in using
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properties such as mechanical anisotropy, programmable shape change, auxeticity (some of these materials expand when you stretch them!), and stimuli-responsive behaviour. These properties make liquid crystal
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. Main Duties and Responsibilities 1.Plan and conduct assigned research individually or jointly in accordance with the project’s deliverables, Dr Kotronoulas’ Research Group, and the research strategy
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sequencing and researching disease in patient cohorts, working with machine learning techniques and programming computers. The candidate will learn about different flavors of metagenomic sequencing, how
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decisions about personalised phage therapy. The expected workload is mainly computational, using bioinformatics analyses to investigate the microbiome and phageome with supporting laboratory work for DNA
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effects on the human host, either beneficially, such as antibacterial compounds, or negatively, such as toxins. Computational analysis of genomic data highlights a vast number of pathways to such molecules
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, such as quantum sensing, quantum cryptography and quantum computation, with experiment limitations implemented as mathematical constraints. The applicant should have a a mastery of linear algebra
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assays, computational docking, NMR spectroscopy, site-directed mutagenesis, macrophage biology, and cell death assays. This project would suit a graduate in Pharmacology, Biomedicine, Biomedical Science
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the computational design and synthesis of peptides and small molecules, the analysis of compounds binding to proteins and their activity in cancer cells. Led by Dr Andrew Beekman and Professor Mark Searcey, there is