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
دکتر سیدهادی ابراهیمی
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دکتر سیدهادی ابراهیمی
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دانش آموخته کارشناسی مهندسی کشاورزی (علوم دامی) از دانشگاه گیلان در سال 1376 و کارشناسی ارشد تغذیه دام از دانشگاه فردوسی مشهد در سال 1378. وی در سال 2010 میلادی از موسسه ملی تحقیقات گاو شیری و فراورده های لبنی هندوستان (NDRI)  در رشته تغذیه دام با مدرک دکتر تخصصی دانش آموخته شد. دکتر سید هادی ابراهیمی در طی دوره دکتری موفق به دریافت فلو شیپ (LEARN) از دولت نیوزلند شد و مدت شش ماه را نیز در موسسه اگریسرچ نیوزلند سپری نمود. از سال 1392 به عضویت هیأت علمی گروه علوم دانشگاه فردوسی مشهد درآمد و تا کنون در این گروه فعالیت می کند.  زمینه اصلی پژوهشی ایشان تکنولوژی خوراک دام (علوفه و کنسانتره) با تاکید بر مدل حیوانی اسب می باشد.