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CeMM - Research Center for Molecular Medicine of the Austrian Academy of Sciences | Austria | 23 days ago
the future; Open to both PhD (natural sciences) and MD (medical sciences) holders; From a variety of academic backgrounds: molecular biology, biomedical research, bioinformatics, biochemistry, bioengineering
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, documented by peer-reviewed publications Basic knowledge of molecular and immunohistochemical methods, as well as bioinformatics and statistics International research experience (e.g. postdoctoral training
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You will supervise and support junior members of our team Your profile What you bring for this position: PhD degree in a relevant subject (e.g. bioinformatics/computational biology, genomics
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you bring for this position: PhD degree in a relevant subject (e.g. bioinformatics/computational biology, genomics or molecular/cancer/evolutionary biology) At least one first-author paper in a peer
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bioinformatics scientists). Your future tasks: Active participation in research, teaching & administration, which means: You are involved in research projects and scientific studies in the area of single cell
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Veterinärmedizinische Universität Wien (University of Veterinary Medicine Vienna) | Austria | 3 months ago
disease• Profound knowledge in the bioinformatic analysis of Omics datasets (RNA-seq, ChIP-seq) with a focus on state-of-the-art single-cell technologies• Experience with national or international
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bioinformatics scientists). Your future tasks: Active participation in research, teaching & administration, which means: You are involved in research projects and scientific studies in the area of single cell
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, Biochemistry, or similar) Experience working with a plethora of bioinformatics tools dealing with sequence and structure analysis. Excellent knowledge and experience in structural biology. Didactic competence
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, Biochemistry, or similar) Experience working with a plethora of bioinformatics tools dealing with sequence and structure analysis. Excellent knowledge and experience in structural biology. Didactic competence
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by optimizing process flows, which are sequences of Unit Process Instructions (UPIs) describing operations to be performed by tools on developed wafers. The envisaged approach shall employ a hybrid AI