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block within this process. You will be embedded both within an experimental and computational team, providing a unique atmosphere where there is expertise to develop the deep-learning models while having
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The overarching goal of the TOBI-team is to enhance precision cancer management through the development of innovative wet-lab and bioinformatic tools for diagnostic, prognostic, and predictive analysis. Prof
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/article/PPR/PPR800886 . Profile Master’s in bioinformatics, biotechnology, bioengineering, biomedicine, software engineering, data science, physics, or related fields Interest in multi-omics data analysis
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://europepmc.org/article/PPR/PPR800886 . Profile Master's in bioinformatics, biomedicine, bioengineering, biotechnology or related fields Interest in linking digital pathology with mechanistic experimental biology
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for candidates with hands-on experience or a strong interest in spectral imaging techniques, confocal microscopy, and bioinformatic analyses Experience in mouse work is highly desirable Interest in
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, Mathematics, Physics, Bioinformatics, Computational Biology/Neuroscience/Chemistry, Bioengineering, Biotechnology or other related fields Demonstrate academic excellence, typically reflected by graduation with
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bioinformatics and computational biology Strong interest in immune-brain interactions and food allergy-related immunology Excellent communication skills and fluency in English A collaborative mindset and
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/intermediate programming skills in R and/or python Ability to adapt to the research environments while being full members of two labs Desirable skills statistical analysis basic processing of NGS data experience
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(genome sequencing), bioinformatics and single-cell (microscopy, microfluidics, FACS) analyses of E. coli bacteria and will be centred around the following themes: Pathways involved in robustness against de
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The Laboratory of Cortical Information Processing | Vision to Action at NERF (www.nerf.be ) invites applications for a Postdoctoral Fellow or PhD Student to work on a new research project funded by