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-08187-1 Your Profile: Master and PhD in biology, genomics or bioinformatics Strong background in data science or machine learning (deep learning, statistical modeling, or large-scale data analysis a plus
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Your profile: Master degree in biology, biochemistry, biotechnology or related areas prior experience with cell culture, iPSC and molecular biology techniques prior experience in bioinformatics
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Department at Heidelberg University Hospital. Are you passionate about advancing spatial biology through cutting-edge bioinformatics? The Neuropathology Department at Heidelberg University Hospital, a global
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qualifications and skills: You hold a Doctorate degree (Ph.D.) in data science, bioinformatics, computational biology, genetics, or a closely related field. You have a strong background in machine learning (e.g
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. This group encompasses a research platform focused on the development of microbiota-based therapies. Within this group, the bioinformatic analysis of data sets and, in particular, the development of prediction
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such as Git. Expertise in at least one of the following areas: Computer vision (e.g., object detection, segmentation, classification, explainable AI) Microbiome data analysis, bioinformatics, or modeling
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Proficiency in bioinformatics, single-cell omics, or advanced imaging analysis Familiarity with functional readouts (e.g., MEA, calcium imaging, electrophysiology) is a plus Competitive applicants must have
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Department at Heidelberg University Hospital Are you interested in advancing research at the intersection of bioinformatics, computational neuropathology, and multi-omics integration? Join the team
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or bioinformatics with strong experience in applied omics research Knowledge in programming languages and statistical analysis Experience with the analysis and integration of high throughput data such as NGS and
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field such as computer science, bioinformatics, mathematics, computational life sciences, or related. Profound knowledge in machine learning, preferably deep learning for image data. Experience in