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The Center for Quantitative Genetics and Genomics (QGG) at Aarhus University, Denmark, invites applications for a two-year postdoctoral position in plant regulatory genomics and artificial
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Alexander Skupin: Your profile Core qualifications: PhD in bioinformatics, computer science, computational biology, physics, data science, or related fields Strong interest in interdisciplinary and
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-tool development Present results at international conferences Your profile PhD degree in Bioinformatics, Computational Biology, Computer Science, Mathematics, Physics, or a related field
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. Contribute to software and web development Qualifications PhD degree in Bioinformatics, Computational Biology, Computer Science, Mathematics, Physics, or a related field Strong experience with
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redirected to an external site after 5 seconds) Save job Click to add the job to your shortlist Send job Job Details The Center for Quantitative Genetics and Genomics (QGG) at Aarhus University
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Postdoc Position for Computational Genomics, AI Precision Oncology, Cancer Biology and Immunobiology
University of Pittsburgh, Pittsburgh , Pennsylvania, US | Pittsburgh, Pennsylvania | United States | 5 days agovalidating computational biomarkers (IGR burden, TAA burden, IMPREG signature) for precision immuno-oncology panels. Preferred qualifications: Ph.D. in bioinformatics, computational biology, computer science
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researcher to join an interdisciplinary project that combines plant genomics, artificial intelligence, and evolutionary biology. The position is based at the Center for Quantitative Genetics and
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pioneering technologies for our economy and society – more precisely: 30 000 people from technology, science, administration and IT. They know: Anyone who comes to Fraunhofer wants to and can make a difference
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. Candidates with interdisciplinary backgrounds are particularly encouraged to apply: 1. Stereo-cell technologies; single-cell and spatial multi-omics; cell biology; molecular biology 2. Computer science
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the front of the field. Must-have: PhD in computational chemistry, structural biology, computer science, or a related field Strong publication record and demonstrated ability to independently design