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academic and professional qualifications Proven research experience in the field of modelling and analysis of biological networks Solid foundation in mathematics and algorithmic design Strong programming
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FWO-UGent funded bioinformatics postdocs: Unveiling the significance of gene loss in plant evolution
loss patterns across diverse plant lineages Explore graph-based algorithms for multiple genome alignment and ancestral karyotype reconstruction Position 2: Evolutionary Analysis and Network
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education at the department occurs in an international environment and is focused on animal biology. Outstanding and high impact research is conducted in a variety of fields, including evolutionary biology
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Job Description Join the Multi-omics Network Analytics Research Team as a Postdoc in Computational Biology at the Danish Technical University (DTU) Are you an experienced scientist with a passion
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Position Description A postdoctoral position studying “algorithms in nature” is available in Dr. Saket Navlakha's research group at the Simon's Center for Quantitative Biology at Cold Spring Harbor
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Details Title Postdoctoral Research Position in Computational Biology School Harvard T.H. Chan School of Public Health Department/Area MIPS/Environmental Health Position Description The Haber Lab in
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Preferred Qualifications: Experience with one or more of the following: Building novel 3D and super-resolution ultrasound systems. Developing deep learning algorithms for 3D biological data. Designing and
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developing new algorithmic approaches for TAPS data, interpreting the results in the context of phenotypic observations, and communicating these findings clearly to the broader team. You will prepare the
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Number: JR88866 Position Summary The Marti Lab in the Department of Cell Biology & Physiology builds next-generation imaging and AI tools to reveal how health, aging, and disease progress inside living
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environment project, we will develop automated species and community recognition, particularly focusing on pathogenic soil fungi, with help of deep-learning algorithms fed with microscopic image and Raman