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different bioinformatic approaches to investigate and analyze omics data on immune response (central and peripheral) in people with Parkinson’s Disease, using both internally generated data as well as using
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classifiers Collaborating closely with bioinformatics cores and international project partners Mentoring PhD students and contributing to grant applications You will report to the Assistant Professor Xiang
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. Science Advances (2024). https://doi.org/10.1126/sciadv.adk1250 Your qualifications: Required qualifications: Applicants must hold a PhD degree in computer science, bioinformatics or similar. The applicant
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qualifications: Applicants must hold a PhD degree in computer science, bioinformatics or similar. The applicant must be proficient in programming in Python and Java script. Have strong cooperation and
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range from cell biological over biochemical to molecular biology and bioinformatics approaches. Collaborations with structural biologists are possible. Your profile Applicants should hold a PhD in
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for helping to grow the new lab and will collaborate closely with a PhD student already working on the project. In addition, the postdoc will be part of a vibrant and growing research environment
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work. Qualifications PhD in computer science, computational biology, engineering, or related fields. Experience developing deep-learning tools for image processing, automatic monitoring of agricultural
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on a predictor X; candidates should understand how this function performs the analysis (e.g., estimates the effect size, assesses significance). Most likely, the applicants will have a BSC and/or PhD
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of junior researchers and students General procedures and responsibilities of the lab Your profile Applicants should hold a PhD in protein biochemistry, biophysics, molecular cell biology or similar
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feature annotation using Metaboscape and other platforms. Collaborating with the Bioinformatics Core Facility, directed by Associate Professor Per Qvist, and other computational biologists to exemplify