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Field
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to support your career goals and provide access to state-of-the-art facilities. Candidates with background knowledge and hands-on experience in transcriptional regulation, 3D-organoids and bioinformatics
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or Molecular Biology PhD in Soil Microbial Ecology or Soil Microbiology or Environmental Microbiology Experience in the analysis of biological data using basic bioinformatic tools (i.e. amplicon sequencing
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disseminate your work within the ELM community by presenting at conferences and scientific events. Document your work and report to project coordinators and stakeholders. Your profile: PhD degree in
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Education: PhD in Artificial Intelligence, Bioinformatics, Computer Science, Physics, Engineering, or a related field. Programming: Proficient in Python. Machine Learning: Strong experience with frameworks
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Biology is looking for a highly motivated and independent individual to work as a Postdoctoral Associate. This position is for a post-PhD trainee preparing for a research scientist career path. The planned
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focuses on single-cell genomics, biotechnology, and bioinformatics. The project involves transcriptomic and genomic profiling of single microbes. The post-doc will work on machine and deep learning methods
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research Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 23 Mar 2026 - 23:59 (Europe/Lisbon) Country Portugal Type of Contract Temporary Job Status Full-time Hours
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CeMM - Research Center for Molecular Medicine of the Austrian Academy of Sciences | Austria | about 1 month ago
the future; Open to both PhD (natural sciences) and MD (medical sciences) holders; From a variety of academic backgrounds: molecular biology, biomedical research, bioinformatics, biochemistry, bioengineering
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biobanks such as the UK Biobank and AllOfUs. The ideal candidate should hold an MD or PhD, and have a strong background in human genetics and/or statistics, including knowledge of genomewide methods, such as
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scientist. Job requirements Professional experience Machine learning / Deep learning tools (pytorch) and predictive modeling Bioinformatics analysis of omics data Education and training PhD or equivalent