30 parallel-processing-bioinformatics "Multiple" PhD positions at Nature Careers in Germany
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Documentation of laboratory work Collaboration with project partners and regular presentation of results Your profile: M.Sc. or Diploma in bioinformatics or a comparable qualification Extensive programming
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PhD students (multiple positions) Artificial Intelligence within Public Health Research (all genders) Start date: 01.10.2026 Contract type: 3 years (fixed-term) Location: Wildau Deadline: 30.04.2026
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a unique range. Institute of Material and Process Design The Institute of Material and Process Design is dedicated to the sustainable and ecological development of innovative materials and
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to apply. The University is a family-friendly university. We welcome applications from candidates with disabilities. If multiple candidates prove to be equally qualified, those with disabilities or with
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-friendly university. We welcome applications from candidates with disabilities. If multiple candidates prove to be equally qualified, those with disabilities or with equivalent status pursuant to the German
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Establish predictive pipeline for transfer learning and drug target discovery Apply models on pathogen and immunological datasets Provide bioinformatics support to other BNITM groups Contribute to teaching
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model of immune tolerance, effectively inducing temporary remission in autoimmune conditions like multiple sclerosis. Our goal is to "learn pregnancy’s code" to understand these natural protective
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biology and crosstalk with immune and cancer cells Aplication of state-of-the-art cell biology, molecular biology, and OMICs analyses Use of bioinformatic analyses and data integration Your skills: Master
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institution. The Cluster of Excellence REC² offers (subject to the availability of resources) at the Faculty of Electrical and Computer Engineering, Institute of Semiconductors and Microsystem (IHM), Chair
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productivity. Multiple coordinated observing strategies, including research vessels and a large ensemble of autonomous platforms, will collect physical, chemical, and biological datasets across scales