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will use machine learning methods to develop affinity ligands. These methods have been transformative for protein design, allowing generation of novel proteins which can suit a precise need. In this 4
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aims to build predictive and physical binding models of protein – DNA interactions using high-throughput and quantitative biochemical binding data across hundreds of thousands of sequence variants
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Industry PhD Project which is a collaboration between Stockholm University and Merck AB, an affiliate of Merck KGaA Darmstadt, Germany (Merck AB). The PhD student will be employed by Merck AB but registered
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with the Julia programming language is advantageous Terms and conditions The doctoral student will be employed on a doctoral studentship maximum 4 years full-time. Application process Submit your
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individuals from around the world to apply for this exciting opportunity. Terms and conditions The doctoral student will be employed on a doctoral studentship maximum 4 years full-time. Application process
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for Oncology, Clinical Genetics, Clinical Immunology, Clinical Pathology, and Hospital Physics at Akademiska sjukhuset, Uppsala. The department has teaching assignments in several education programmes, including
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or predictive modelling of pathogen biology or host-microbe systems for which multidimensional, genome-scale experimental data are now available or it may use population-scale genetic, clinical, or public health
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. If security vetting is conducted, the applicant must pass the vetting process to be eligible for employment. Please do not send offers of recruitment or advertising services. Submit your application through
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, and will apply deep learning to integrate the analysis flows. The PhD student will develop the method and apply to numerous in-house samples of environmental sequences, pushing the boundaries of RNA