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Department of Ruminant Science
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| Using computer vision and deep learning networks to quantify various behaviors of dairy cattle |
Our research uses image collection to measure eating behavior and social interaction of dairy cattle: calves, heifers, and lactating cows. We use convolutional neural networks (CNN) to classify individual eating behavior and characterize social interactions. During the project, we collected and cured extensive data set for training of CNN’s models capable of classification and segmentation of cattle in their commercial environment
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| Education requirements |
| Ph.D. in the fields of animal, natural, agricultural, or computer science |
| Scientific experience |
| The candidate must have proven (published works) experience in large data processing, scientific writing, and mathematical or statistical modeling. The candidate must have experience using R, Python, MatLab, or other appropriate tools. |
| Skills |
| The following abilities and skills are to be considered when evaluating applications: algorithmic coding, image processing, computer vision, deep learning, teamwork, and experiments designing and concluding. |
Poultry and Aquaculture
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| Controlling growth and puberty in fish through endocrine manipulations |
Controlling puberty has been a high priority in aquaculture for many years, both as a mean to advance the process in species that mature late, as well as for delaying its onset in early maturing species. Yet while much effort has been invested in trying to control puberty in fish, these attempts have met with little or no success. Puberty in all vertebrates is metabolically gated, as insufficient energy and growth are associated with delay of puberty whereas rapid juvenile growth will lead to the early onset of puberty. In our research we propose to study the crosstalk between the growth and reproductive axes with the aim of developing effective endocrine interventions to control puberty via the manipulation of growth and/or gonadal development.
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| Education requirements |
| PhD |
| Scientific experience |
| PhD in life sciences |
| Skills |
| Background in molecular biology and experience working with genomics, background in marine/aquatic sciences |
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| Epigenetic regulation of stress |
The research will address the epigenetic regulation of early life and embryonic stress response and heredity, concentrating on heat tolerance and on heat immune system cross tolerance in poultry.
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| Education requirements |
| Ph.D |
| Scientific experience |
| Molecular biology |
| Skills |
| Knowledge in molecular and immunological laboratory techniques |
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| Response and adaptation of tilapia to environmental stress |
We study the genetics and physiology of tilapia response and tolerance to temperature and salinity stress. We use high throughput genomic analyses, in vivo and in vitro molecular techniques, metabolic chambers, imaging and behavioral analyses, to study the whole animal and tissues response and the central regulation by neuroendocrine pathways.
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| Education requirements |
| Ph.D. |
| Scientific experience |
| Preferred experience in molecular biology or bioinformatic or physiological experiments. |
| Skills |
| Curiosity, high motivation, independence |
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| Updated on: 17/05/22 12:02 |
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