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Apply online now: https://karriere.klinikum.uni-heidelberg.de/index.php?ac=application&jobad_id=25655 PhD Student – Bioinformatics/ Computational Biology (m/f/d) Stellenanzeige merken Stellenanzeige
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, RNA seq, single cell sequencing, spatial transcriptomics), bioinformatics tools and human studies. Your profile: PhD in bioinformatics, oncology or computational biology profound experience in system
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constellation of institutes and scientists dedicated to ageing research in Life Sciences. We offer up to 12 fully funded PhD positions to highly motivated and talented researchers. The structured PhD training
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-Associated Diseases (CECAD), the University Hospital and the Max Planck Institutes for Biology of Ageing and for Metabolism Research. We offer up to 12 FULLY FUNDED PHD POSITIONS to highly motivated and
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Senior Scientist / Group Leader on Bioinformatics / Computational Biology on RNA Regulation in Disea
for extramural funding and build an own computational biology research group Your profile: A PhD (or equivalent) in Bioinformatics / Computational Biology More than 5 years postdoctoral experience with several
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: PhD degree in Biochemistry, Molecular Biology, or a related field, e. g., Bioinformatics Strong publication record in relevant international journals Documented research activities using modern
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Dortmund, we invite applications for a PhD Candidate (m/f/d): Multidimensional Omics Data Analysis You will be responsible for Prediction of metabolic activity in complex microbial communities, leveraging
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(bioinformatics, computer science, genetics, or a related field) Excellent advanced scientific degree (PhD) in bioinformatics, computer science, computational biology or a related STEM field; prior working
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with other LIB researchers of both localities. We expect the candidate to hold a PhD in Evolutionary Biology, Molecular Biology, Bioinformatics, or a closely related field with strong emphasis
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Dortmund, we invite applications for a PhD Candidate (m/f/d): Multidimensional Omics Data Analysis You will be responsible for Setup a knowledge graph in neo4J for microbiome research Integration