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Growing, Production and Environmental Engineering
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Detection of Causative Bacterial Infections in Mastitic Dairy Cows Using SERS based Lab-On-Chip |
The suggested research specifically addresses the most prevalent health problem in dairy cows and major problem for the dairy industry worldwide. Our proposed multidisciplinary approach is based on an innovative combination of new nanomaterials with sensitive, specific and robust capture probes to build an integrated platform, “lab-on-chip”, for label-free biosensing of subclinical mastitis. The system will allow sensitive and rapid detection of milk samples' quality and safety outside laboratory boundaries using a simple and portable device.
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Education requirements |
Exact Sciences / Life Sciences |
Scientific experience |
Optical transduction, sensors and biosensors |
Skills |
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Portable Optical Biosensing Platform for Real-Time Environmental Screening of Water Bodies Pathogens |
The overall aim of this project is to develop an integrated optical biosensing platform for the on-site continuous detection of microbial load in water bodies. Specifically, the biosensing platform will be designed for the detection of predefined model bacteria by SERS mode, offering a unique spectral analysis of the overall waterborne contaminants.
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Education requirements |
Exact Sciences / Life Sciences |
Scientific experience |
Optical transduction, sensors and biosensors |
Skills |
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Optical microarray for mycotoxins detection |
Food and agricultural commodities contamination by various toxigenic conidial fungi is a seriously neglected problem, affecting ~25% of the world’s crops with staggering economic losses. Regardless of decades of extensive research, traditional detection methods are unable to perform rapid “real-time” on-site detection and are limited to laboratory boundaries. Herein, we'll fabricate and design a modified biosensing platform for label-free and highly sensitive detection and quantification of aflatoxins, using oxidized porous silicon (PSi), Fabry-Pérot thin film as an optical transducer element.
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Education requirements |
Exact Sciences / Life Sciences |
Scientific experience |
Optical sensors and biosensors |
Skills |
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Sensing, Information and Mechanization Engineering
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Active microscopy and computational imaging schemes for 2D and 3D imagining |
The Agro-Optics and Sensing Lab focuses on solving optical acquisition barriers in Agricultural and Environmental scenarios. We are looking for a post-doc student to study and develop active microscopy and computational imaging schemes for 2D and 3D imagining. The research includes collaboration with a veterinarian lab and researching and developing machine learning algorithms while collaborating with post-graduate students in the lab. Candidates are welcome to apply to Dr. Iftach Klapp
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Education requirements |
PhD |
Scientific experience |
electo-optics, imaging systems, machine learning |
Skills |
Hands-On optical lab and python programing |
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VERNICK SEFI |
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Team:Dr. Sefi Vernick WHO ARE WE? We are an interdisciplinary lab conducting research that involves biology, nanotechnology and electrical engineering. • Develop miniaturized bioelectronic devices for basic science and diagnostic applications • Design new |
Electrochemical biosensor devices for the detection of pathogenic biomarkers |
We are seeking highly motivated researchers for research in electrochemical biosensors for diagnostic applications. The research involves the design, fabrication, and characterization of bio-functionalized electrochemical platforms and the detection of pathogen biomarkers from food and water.
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Education requirements |
Physical chemistry or Electrical Engineering or Biotechnology |
Scientific experience |
Experience in Electrochemical analysis is a must For Engineering candidates: experience in device design and fabrication is an advantage Previous experience in bio-conjugation chemistry is an advantage Experience in one or more of the following: surface chemistry, SEM/AFM characterization techniques , cell culturing will be considered a plus |
Skills |
Successful candidates are expected to work in a multi-disciplinary research environment. Strong writing and verbal English skills The research will be performed in Dr. Vernick ‘Bioelectronics and electrochemistry lab’ in Volcani Center. https://www.vernicklab.com |
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VERNICK SEFI |
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Team:Dr. Vernick ‘Bioelectronics and electrochemistry lab’ in Volcani Center WHO ARE WE? We are an interdisciplinary lab conducting research that involves biology, nanotechnology and electrical engineering. • Develop miniaturized bioelectronic devices for |
Bioelectronic carbon-nanotube field-effect transistor devices for diagnostic applications |
We are seeking highly motivated researchers for research in carbon nanotube-based field-effect transistor biosensors for diagnostic applications. The research involves the design, microelectronic fabrication, and characterization of bio-functionalized CNT-FET platforms for the detection of pathogen biomarkers.
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Education requirements |
Electrical engineering (devices, VLSI) Biotechnology or Bio/Chem engineering or related fields Materials engineering |
Scientific experience |
Previous experience in microfabrication and/or background in circuit design will be considered a plus. Basic knowledge in physical chemistry is an advantage (Knowledge and expertise in electrochemistry is a plus) Experience in SEM/AFM or Raman characterization techniques will be considered a plus |
Skills |
Successful candidates are expected to work in a multi-disciplinary research environment. Strong writing and verbal English skills Research will be performed in Dr. Vernick ‘Bioelectronics and electrochemistry lab’ in Volcani Center. https://www.vernicklab.com |
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COHEN YAFIT |
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Team:Michael Ben-Yosef, Eitan Goldstein, Yoav Gazit, Miriam Silberstein, Gilad Gefen, Doron Timar, Gal Ya'akobi |
Data-driven research of the effect of residents on Medfly distribution |
The spatial distribution and population dynamics of pests often extend beyond agro-ecosystems into other habitats surrounding the agricultural area. Of these, the urban dimension, due to its extensive development and increasing integration with agricultural lands, has an increasing contribution to the preservation and dissemination of agricultural pests. In this study, we will characterize the effect of settlements on the spatio-temporal dynamics of fruit fly populations in surrounding fruit orchards, using geostatistics, eco-informatics and spatio-temporal analyses of a large monitoring database. Our ultimate aim is to set the grounds for a pest control interface that will be applied to settlements in order to reduce the presence of pest flies in fruit orchards.
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Education requirements |
Programming Engineering/ Statistics/ Computer science/ Geography/ Entomology (with data-science oriented approach) |
Scientific experience |
PhD in Engineering /Statistics/ Computer science/ Geography/ Entomology |
Skills |
Data-base, Geo-Data-base, Strong Statistics/ Geostatistics background, GIS, Machine-learning. |
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Updated on: 17/05/22 11:32 |
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