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STATE OF ISRAEL I MINISTRY OF AGRICULTURE AND RURAL DEVELOPMENT   
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Institute of Agricultural Engineering

Growing, Production and Environmental Engineering

  • SHTENBERG GIORGI e-mail Team: Dr. Nanda Kumar
    LAB-ON-A-CHIP NANO-SENSOR FOR EARLY AND PRECISE DETECTION OF DECLINED ACUTE MYOCARDIAL INFRACTION
    The overall aim of this project is to develop a generic, integrated sensing platform for the detection of a decline in heart health (i.e., heart attack). We propose to design and fabricate a “lab-on-chip” platform that will enable the real-time evaluation of the onset of cardiac biomarker level elevations in patient plasma, specifically cTnI used as a model target.
    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.
  • SHTENBERG GIORGI e-mail Team: Dr. Nanda Kumar
    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.
    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.
  • VITOSHKIN HELENA e-mail Team: Dr. Offer Rozenstein, Institute for Soil, Water and Environmental Sciences (ARO)
    Model crop analysis for Agrivoltaic system
    We are seeking a qualified and highly motivated graduate student to conduct a study of solar power generation in open agriculture fields (Agrivoltaics) with minimal crop losses through shading effect. Responsibilities include developing models and simulations for plant growth analysis combined with solar power generation. Duties will also include primary research, evaluation of crop/electricity system performance, environmental impact, and photosynthesis and yield modeling.
    Education requirements
    Doctoral Degree in Mechanical/Electrical Engineering, Applied/Computer Sciences, Physics, Agriculture, Food and Environment Sciences.
    Scientific experience
    Familiarity with at least one of crop simulation models: STICS, AQUACROP' DSSAT or other similar models.
    Skills
    An aptitude for one (or more) of fields: computer modeling and simulation, numerical methods, control systems, sustainable energy. The experience in agronomy is preferable. Effective communication interpersonal, analytical and problem solving skills.
Updated on: 20/04/20 14:06
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