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targets. Proteomics involves various technologies and methods, such as mass spectrometry and bioinformatics. Our aim is to connect cancer proteome knowledge to genome and clinical data to improve
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. Experience with CNS lesion models, molecular engineering, single cell genomics, and/or bioinformatics will be considered an advantage. Terms and conditions The doctoral student will be employed on a doctoral
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Bioinformatics or programming Systems biology Computational biology Spatial biology techniques Terms and conditions The doctoral student will be employed on a doctoral studentship maximum 4 years full-time
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, Data Science, Bioinformatics, or related fields. Familiarity with basic concepts of statistical analysis is required. Strong programming skills in Python, R and Linux-based software or similar languages
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autoimmune diseases, in particular in myositis. The student will study the targets of the autoantibodies by taking advantage of molecular and bioinformatic approaches. The student will collect and handle human
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, designing and conducting laboratory experiments, bioinformatic analysis of generated data, presentation of results and manuscript writing. Therefore, previous experience and interest in both laboratory work
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of four years of full-time doctoral education is required. One Ph.D. position is available in bioinformatics with a focus on large-scale data analysis using artificial intelligence. The research project is
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student will be part of a multi-disciplinary team consisting of experts in cancer biology, proteomics, bioinformatics as well as lung oncology. Within this framework, the student will be expected to work
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: epidemiology, gerontology, genetics, bioinformatics, biostatistics, statistics, medical biotechnology, or a related discipline, and have a strong interest in aging and proteomics. The applicant must have at
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and case-control studies, survival analysis, twin and family studies, predictive modelling, genetic epidemiology, causal inference, and bioinformatics. The doctoral student project and the duties