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Your Job: As part of an interdisciplinary project team with researchers from bioinformatics you will work on quantum algorithms for drug discovery. Here, the focus lies on machine learning and
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, bright individuals with a diploma or master’s degree in bioinformatics, biochemistry, biology, molecular/translational medicine or related subjects and a PhD in life and computer sciences. Previous
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and brain resident cells interact in this process. You will contribute to these research efforts by analysing spatial transcriptomics data from hundreds of brain tumours to establish the molecular
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. The project forms part of the multi-disciplinary SoilSystems Priority Program, involving 16 collaborating research institutions across Germany. Your tasks: Bioinformatic analysis of long- and short-read
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biological, biochemical as well as -omics and bioinformatics techniques Optimize and apply ribosome profiling and single-cell ribosome profiling on organoids and clinical samples Characterize the impact of gut
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analysis, CRISPR-based epigenetic or genome editing Interest and ideally hands-on experience in bioinformatics analysis of NGS data (ChIP-seq, CUT&Tag, RNA-seq, ATAC-seq) Demonstrated ability in writing
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projects Integrate into the research team and provide support for junior members and students Your profile Solid experience in cell biology and experimental laboratory work Expertise in bioinformatic
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Leibniz Institute for Plasma Science and Technology | Greifswald, Mecklenburg Vorpommern | Germany | about 2 months ago
» BiochemistryEducation LevelPhD or equivalent Skills/Qualifications PhD in biology, (bio)chemistry, bioinformatics or a related field High affinity to data and large-data-driven science, as well as strong logical
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biology, (bio)chemistry, bioinformatics or a related field High affinity to data and large-data-driven science, as well as strong logical understanding Knowledge of statistical analysis and programming
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regulation of cellular processes such as translation, protein folding, cytoskeletal dynamics and cell differentiation. Recently, a new class of regulatory switches (C-switches) was discovered that use