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service, ensuring alignment across a complex ecosystem and balancing VIB-wide policies with local implementation needs while avoiding duplication of efforts. Monitor incidents, risks and prevention data
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unique opportunity to work at the interface of evolutionary biology, genomics, and algal model systems, while contributing to a broader understanding of biodiversity, adaptation, and genome evolution. Your
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of seeing their designed proteins function in real-world. Essential qualifications Master's degree in Biochemistry, Protein Engineering, Structural Biology, Biophysics, Biotechnology, or a related field Hands
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Computational Biology, Bioinformatics, Computer Science, AI/Machine Learning, Physics, Mathematics, Bioengineering, Structural Biology, Biophysics, or a related field Strong quantitative, analytical
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of seeing their designed proteins function in real-world. Essential qualifications Master's degree in Biochemistry, Protein Engineering, Structural Biology, Biophysics, Biotechnology, or a related field Hands
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Computational Biology, Bioinformatics, Computer Science, AI/Machine Learning, Physics, Mathematics, Bioengineering, Structural Biology, Biophysics, or a related field Strong quantitative, analytical
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in machine learning, computer science, computational biology, statistics, or a related field. Knowledge of modern deep learning frameworks (e.g., PyTorch, JAX, TensorFlow). Experience developing AI
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bioinformatics, computational biology, or related field. Strong experience with NGS data analysis and scripting (Python/R). Familiarity with immune repertoires, protein sequence analysis, and HPC
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bioinformatics, computational biology, or related field. Strong experience with NGS data analysis and scripting (Python/R). Familiarity with immune repertoires, protein sequence analysis, and HPC
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related field. Demonstrated expertise in multi-omics integration and large-scale data analysis. Strong programming skills (e.g., R, Python, workflow systems). Proven publication record in peer-reviewed