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Growing, Production and Environmental Engineering Department
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Dual Detection of Inorganic Arsenic: A Real-Time Screening Method |
The main goal of this project is to develop a generic integrated biosensing platform for the detection and quantification of inorganic Arsenic (iAs) pollutants in aqueous solutions at low-level concentrations. We aim to design and construct dual-biosensing platform (optical and electrochemical transduction), based on porous Si optical biosensors and nanostructured sensing electrodes, both modified by robust capture probes, integrated into a microfluidics device that serves as a lab-on-chip platform. The innovative system will allow sensitive, label-free and rapid analysis of real water samples, outside laboratory boundaries, using a simple and portable device.
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Education requirements |
Ph.D within Exact Sciences / Life Sciences, e.g., Chemistry, Chemical Engineering, Biotechnology Engineering, Agricultural Engineering, Nanotechnology, etc. |
Scientific experience |
Extensive research experience in the fields (one or more) of analytical chemistry, biochemistry, biological interfaces, electrochemical sensors, material science, microfluidics, nanomaterials, optical sensors, photonics, polymer science, semiconductors processing, surface chemistry, thin films. |
Skills |
Highly experienced researcher, leads independent research projects, including collaborative work with international research Institutes. Professional and skilled in data analysis and troubleshooting. Strong planning, decision making abilities, and encourages a team environment. Excellent oral and written communication, including presentation skills. |
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Real-Time Detection of Subclinical Mastitis in Dairy Cows |
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 “real” milk samples quality and safety, outside laboratory boundaries, using a simple and portable device.
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Education requirements |
Ph.D within Exact Sciences/Life Sciences, e.g., Chemistry, Chemical Engineering, Biotechnology Engineering, Agricultural Engineeringg, Nanotechnology, etc. |
Scientific experience |
Extensive research experience in the fields (one or more) of analytical chemistry, biochemistry, biological interfaces, electrochemical sensors, material science, microfluidics, nanomaterials, optical sensors, photonics, polymer science, semiconductors processing, surface chemistry, thin films. |
Skills |
Highly experienced researcher, leads independent research projects, including collaborative work with international research Institutes. Professional and skilled in data analysis and troubleshooting. Strong planning, decision making abilities, and encourages a team environment. Excellent oral and written communication, including presentation skills. |
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Triple-Mode Optical Platform for Real Time Screening of Water Bodies Pollutants |
The overall aim of this project is to develop an integrated biosensing platform for “on-site” detection of multiplex pollutants in water bodies. We plan to design and fabricate a sophisticated remote controlled device, based on triple-mode detection (reflectance based) that evaluates in real-time the presence of trace levels of pollutants and the overall safety of water samples. The biosensing platform will combine PSi scaffold (dedicated for bacteria and excessive nutrients contamination) and hybrid AuNPs (designed to react in the presence of metallic constituents) offering unique spectral analysis conducted within a single-device platform.
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Education requirements |
Ph.D within Exact Sciences/Life Sciences, e.g., Chemistry, Chemical Engineering, Biotechnology Engineering, Agricultural Engineeringg, Nanotechnology, etc. |
Scientific experience |
Extensive research experience in the fields (one or more) of analytical chemistry, biochemistry, biological interfaces, electrochemical sensors, material science, microfluidics, nanomaterials, optical sensors, photonics, polymer science, semiconductors processing, surface chemistry, thin films. |
Skills |
Highly experienced researcher, leads independent research projects, including collaborative work with international research Institutes. Professional and skilled in data analysis and troubleshooting. Strong planning, decision making abilities, and encourages a team environment. Excellent oral and written communication, including presentation skills. |
Sensing, Information and Mechanization Engineering
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Cohen Yafit |
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Dr. Victor Alchanatis - ARO Prof. Arnon Karnieli - Ben-Gurion University
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Remote sensing for precision irrigation management |
A postdoctoral position is available in remote sensing for precision irrigation – combining high resolution aerial thermal images with coarse resolution satellite visible-near-IR images towards developing a decision-support-system for the irrigation of
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Education requirements |
Geography/ engineering / ecology/ agriculture |
Scientific experience |
Doctorate in relevant scientific areas Publications in international journals |
Skills |
Knowledge in remote sesnting and GIS in agricultural or environmental topics Image processing Programming in R / ArcGIS/ Matlab |
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Updated on: 27/07/17 09:07 |
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