Station Direction
Dear visitor,Below is an overview of how to reach the station by different means of transport. Please arrive to the south gate of Kibbutz Sdot Yam, not the north, as we are at the southerly edge.Numbers if you get lost:Eran Rosen: 054-268-8324Muriel Burg 0524688155Ziv Zemah-Shamir 0529431158Shai Einbinder 0545483548Leigh Livne 0548056091By car (we strongly recommend carpooling in advance):Link for Google maps to parking: https://maps.app.goo.gl/igVRfP9dHBQ7uX7r9Link for Waze to parking: https://waze.com/ul/hsvbbcfrnbAfter parking in…
Brooke the Shark: a story
https://med-lter.haifa.ac.il/wp-content/uploads/2024/09/clip-of-scan.mp4
Oded Liran
Ph.D , Aquatic PhotosynthesisYigal Alon Kinneret Limnology Laboratory, IOLRoded.liran@ocean.org.il+972-52-5544252 Linkedin Researchgate X-twitter Current position:Research group leader at the Yigal Alon Kinneret Limnology Laboratory, Israel Oceanography and Limnology Research Institute, IsraelAcademic Background:B.Sc. Biology Cum Laude, Israel Institute of Technology (Technion), 2007Ph.D. Direct-track Spectrometry and Biochemistry, University of Haifa, 2013Post-Doc Hydrogen bioproduction, Tel-Aviv University, 2016Principal Investigator Remote Sensing of Photosynthesis, MIGAL, 2023Honors:2010 Marie-Sklodowska-Curie Early-Stage Researcher scholarship, HARVESTPersonal statement:Dr. Oded Liran works as…
Open day at the station!
Morris Kahn Marine Research Station's open day at 18th of June 2024
Fares Fares
M.Sc Computer ScienceAI, Robotics & Sensors field managerffares1@staff.haifa.ac.il Linkedin Academic Education:Period: 2014 - 2018, Institute: University of Haifa, Degree: B.Sc Computer Science, Field of study: Computer vision & roboticsPeriod: 2023 - 2024, Institute: University of Haifa, Degree: M.Sc Computer Science, Field of study: AI & Computer VisionBackground:A Master of Science in Computer Science student specializing in Artificial Intelligence and Computer Vision focusing on enhancing machine learning model interpretability and efficiency, and advancing image recognition through deep learning, which are pivotal in…
Database hub
The long-term ecological research conducted by the Morris Kahn Marine Research Station is of paramount importance with the onset of increasing water temperatures and the influx of invasive species from the Red Sea. The station has divided its prescient research into five sub-divisions: Apex predators, Water chemistry, Rocky reefs, , Fish pathogens ,and Sediment microbiome. Navigate between the data divisions and download what you need.
