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Field
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calcium imaging and data analysis, or in gnotobiotic studies and microbiome analysis/bioinformatics. Key Competencies/Requirements: Hold a doctoral (PhD) degree in neuroscience or relevant disciplines with
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/recalcitrant pollutants Experience in bioinformatics analysis Experience in the strain isolation and cultivation of pure cultures *Applicants who are about to submit their PhD thesis or are awaiting their viva
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. Experience of working with industry partners and collaborative working will be extremely valuable but is not essential. Similarly, prior experience with spatial biology, omics or bioinformatics would be
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to the PhD position must have a Master’s degree (120 ECTS) equivalent higher education qualifications in computer science, AI, cybernetics, bioinformatics, or related fields. The degree must be accomplished
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Training PhD (awarded or near completion) or equivalent experience in computational or mass spectrometry-based metabolomics, bioinformatics, or a related discipline. Demonstrated commitment to ongoing
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transition. The successful candidate should have a background in environmental biotechnology or a related discipline and be proficient in multi-omics techniques, bioinformatics, and bioreactor operation
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a dynamic team that employs cutting-edge models - including iPSC-based cell biology, screening, biochemistry, genomics, imaging, and bioinformatics - to uncover new mechanistic insights into genes
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Medicine and Bioinformatics. The specific objectives of the project are to (i) deploy network analysis methods to genomic data (50%), and (ii) develop such algorithms including community detection algorithms
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Genetic Studies: Support studies on genetic variants affecting drug metabolism, particularly those relevant to Asian populations. Work with bioinformatics and clinical collaborators to interpret
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Medicine and Bioinformatics. The specific objectives of the project are to (i) develop mathematical and data analysis methods to analyze resilience, robustness, and tipping points of network dynamics, when