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scientific journals Requirements: completed scientific university degree and, if applicable, PhD: either in computer science, data science, bioinformatics, or a related field with a focus on machine learning
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, particularly microbial community structure and environmental adaptation Experience in handling large datasets is an advantage Experience with bioinformatic methods applied to genomics and/or metagenomics is
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(bioinformatics) present results at group meetings, seminars and conferences and contribute to high-quality publications Your qualifications you are a motivated and enthusiastic scientist who can work independently
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bioinformatic approaches, and their functional characterisation. RESPONSIBILITIES: Planning, execution and analysis of experimental work Identification and prioritisation of genetic causes of non-obstructive
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Max Planck Institute of Immunobiology and Epigenetics, Freiburg | Freiburg im Breisgau, Baden W rttemberg | Germany | 12 days ago
of your work Your qualifications Academic degree in life science including PhD in biology, bioinformatics or related fields Ability to work independently on research activities and actively contribute
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/ Multi-Omics Data Integration Candidates with a strong background in bioinformatics, computational biology or epigenomics. Desirable experience includes single-cell and spatial omics analysis (scRNA-seq
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, molecular genetics and genomics. You are experienced with Next Generation Sequencing methods. Ideally you have an affinity to command-line based bioinformatic data analysis. Experience with R and Linux in a
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transcriptomics programme to gain deeper insights into how different types of brain tumours grow and how brain tumour and brain resident cells interact in this process. You will contribute to these research efforts
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the topic: “AI-based processing of CAD models for automated planning of computer-aided manufacturing.” The candidate has the opportunity to pursue a doctoral degree (Ph.D.). Remuneration is 100% TVL E13
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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