39 parallel-computing-numerical-methods-"Simons-Foundation" positions at VIB in Belgium
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Description We are seeking a motivated new PhD candidate or Postdoctoral Fellow who wants to join an exciting collaborative research program within the VIB-Center for Inflammation Research between
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Data Core services, including high-performance computing pipelines and large-scale GPU resources, to scale LLM development and deployment. Your profile PhD in machine learning, computer
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, and computational biology, the student will also contribute to the integration of experimental findings with spatial and systems-level analyses of inflammation along the gut–brain axis. Position
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. The labs are strongly focused on integrating the wet lab and computational sides. You will work closely together with fellow computational and experimental colleagues, ensuring the data is analyzed in a
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research that offers real-world solutions to citizens, patients, and farmers. Beyond research, VIB is dedicated to fostering knowledge-sharing through the Training & Conferences Program, offering a range of
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Description We are seeking a motivated new PhD candidate or Postdoctoral fellow who wants to join an exciting collaborative research program within the VIB-Center for Inflammation Research between
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, you will engineer synthetic promoters controlling context-specific gene expression in Arabidopsis. You will develop high-throughput (molecular) phenotyping methods to screen transcriptional activity
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role in membrane remodeling. It also aims to deepen the mechanistic understanding of solute transport in ion channels and transporters of medical relevance. We apply state of the art methods
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bioinformatics, to join our team in Leuven. A successful candidate: Has a master’s degree in Bioinformatics and affinity with Computer Science, Bio-engineering and Life Sciences Has a PhD and experience with
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datasets for single nucleotide variants, structural variants, and tandem repeats relevant to FTLD Use cutting-edge bioinformatics software and methods, or develop novel tools when appropriate