53 assistant-professor-computer-science Postdoctoral positions at Nature Careers in Germany
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microbiome-based strategies to aid in the detection, monitoring, treatment, and prevention of human diseases (e.g., Li et al., Nature Metabolism, 2024; Ni et al., Cell Metabolism, 2023; Leung et al., Science
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on molecular markers and multimorbidity, taking into account the role of lifestyle and environmental factors Your profile Degree in the life sciences & completed doctoral degree in epidemiology Experience in
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working at the boundaries of several research domains PhD degree in computational biology, bioinformatics, systems biology, bioengineering, chemical engineering, or a related discipline Knowledge and
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international meetings and conferences Work closely together with other experimental and computational researchers in the group Assist with training and supervising other researchers (e.g. student assistants, BSc
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degree in molecular biology, cardiovascular medicine, biology or computer science Strong background in bioinformatics, mass spectrometry, epigenetic and NGS approaches preferred At least one first-author
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. nursery close to the company free assistance program for employees (EAP) corporate benefits a varied offer in the canteen on campus Severely disabled persons and those equaling severely disabled persons who
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research on the topic outlined above is paramount Candidates are expected to be interested in working at the boundaries of several research domains PhD degree in computational biology, bioinformatics
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models, multi-omics analyses (e.g., RNA-seq, ATAC-seq, scRNA-seq, scDNA-seq, WES/WGS, targeted NGS, DigiWest), a broad spectrum of molecular and cellular biology techniques, biochemistry and biophysics
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Join an open, interdisciplinary team working at the intersection of computational biology, stem cell biology and neuroscience Collaborate closely with colleagues from experimental research Develop AI
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of epithelial plasticity in kidney repair to contribute to the preparation of scientific publications, grant applications and presentations to contribute to teaching in Biomedical Sciences (Master programme