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Field
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degree (or equivalent) in Data Science, Computational Biology, Bioinformatics, Computer Science, Physics or a related field Solid programming skills and knowledge in deep learning, statistical modelling
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Immonuprecipitation (ChIP); Genome editing, e.g. to (degron) tag proteins of interest; Bioinformatic analysis of generated sequencing data. During your PhD, you will learn about the field of gene regulation, expand our
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transcriptomics Present findings at conferences and publish in peer-reviewed journals Your qualifications and skills: You hold a Master’s degree (or equivalent) in Bioinformatics, Data Science, Systems Biology or
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discipline Solid wet-lab experience in molecular biology, ideally with tissue or protein work Motivation to develop bioinformatics and data analysis skills (training provided) Proficiency in English (spoken
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computer science, bioinformatics or related fields Solid understanding of machine and deep learning and relevant frameworks (e.g. Pytorch or Tensorflow, Keras, scikit-learn, OpenCV) Proficiency in Python, Linux and
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multiple disciplinary approaches inclusive of SELEX technologies, bioinformatics, molecular and cell biology, molecular design, DNA nanotechnology, organic synthesis, immunology, and preclinical studies in
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clinical management. We are seeking a non-clinical PhD candidate with high-level bioinformatics skills to join our internationally renowned, multi-disciplinary team in Newcastle. This position provides
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: 29.07.2025 Limitation:Temporary (2 Jahre, Verlängerung angestrebt) Contract:TV-L Your tasks Single-cell multiomics in primary cells: wet-lab experiments and performing bioinformatic analyzes on the single-cell
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. Utilized methods include molecular and cell biology, flow cytometry, histology and microscopy, protein work, and bioinformatics. Your profile We are looking for candidates who enjoy lab work and who also
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computational biology, bioinformatics, systems biology, bioengineering, chemical engineering, or a related discipline Knowledge and experience in the analysis of metagenomics and/or biological high-throughput