Rachel Kolodny

Email: trachel@gmail.com Website:  https://cs.haifa.ac.il/~trachel/ Statement: Studying the protein universe computationally. Comparing and modelling protein structures; efficiently searching for proteins in large databases.  Developing efficient algorithms for dealing with three-dimensional biological…

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Judith Somekh

Email: judith_somekh@is.haifa.ac.il Website: https://sites.google.com/is.haifa.ac.il/judithsomekh Statement: I am intrigued by the challenges of using data science and data analysis techniques for understanding the development of diseases and their driving mechanisms. My goal…

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Osnat Mokryn

Email: ossimo@gmail.com Website:  https://www.scan.haifa.ac.il Statement: We develop and employ models to extract knowledge from data. We study big data gathered from user-generated content (online reviews and other social media) and the…

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Eyal Privman

Email: eprivman@univ.haifa.ac.il Website: https://privman.haifa.ac.il/ Statement: We study social evolution in ants by comparing genomes of different species and looking for the genes responsible for the evolution of sociality. Furthermore, genomic…

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Bella Vakulenko-Lagun

Email: blagun@stat.haifa.ac.il Website:  https://stat.hevra.haifa.ac.il/index.php/en/academic-staff-he/bella-vakulenko-lagun#  Statement: I have a relatively broad range of research interests, most of which are about the design and analysis of observational studies. My current research focuses…

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Eran Tauber

Email: etauber@univ.haifa.ac.il Website: https://tauber-lab.haifa.ac.il/ Statement:My research focuses on the genetics of the circadian clock and seasonal timing, with particular interest in natural genetic variation, population genetics and molecular evolution of…

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Gil Atzmon

Email: gatzmon@univ.haifa.ac.il Website: http://gilatzmon.wix.com/aging-longevity Statement: My interest has shifted to a new and challenging field involving the role of epigenetics in diseases, aging and longevity. The foremost focus of my research…

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Martin Mikl

Email: mikllabhaifa@gmail.com Website: http://www.mikllab.com/ Statement: We aim to understand the regulation of gene expression in its full complexity using molecular, systems and cell biological tools and employing experimental and computational…

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