University of Campinas
Two Post-doctoral fellowships in Diagnostic Parasitology
University of Campinas
The university of campinas is a public university funded by the state of são paulo, brazil. Established in 1966 in the city of campinas, with the goal of becoming an academic center of excellence.
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JOB DETAILS
Published: 8 days ago
Application deadline: May 15
Location: Campinas - SP, Brazil
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Interested candidates should email motivation letter for the application, recommendation letter from a previous supervisor, curriculum vitae with list of publications, education and experience, and copy of diplomas/degree certificate(s) to Alexandre Xavier Falcão (<a href="mailto:afalcao@ic.unicamp.br">afalcao@ic.unicamp.br</a>). Please refer to which position you are applying for.
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Two Post-doctoral fellowships in Diagnostic Parasitology

Nº: 1489, 1490
Field of knowledge: General biology
FAPESP process: 2014/12236-1
Project title: AnImaLS - Annotation of Images in Large Scale: What machines and specialists can learn from interaction?
Working area: Diagnostic Parasitology
Principal investigator: Alexandre Xavier Falcão
Unit/Instituition: Institute of Computing / University of Campinas (UNICAMP)
Deadline for submissions: 2017-04-20 and 2017-05-15
Publishing date: 2017-03-17
Locale: Av. Albert Einstein, 1.251 - Cidade Universitária, Campinas - SP, 13083-852

We are seeking candidates for a two-year post-doctoral fellowship to work at the Faculty of Veterinary Medicine (www.fmva.unesp.br), State University of São Paulo (www.unesp.br/international), in Araçatuba, SP, Brazil, in cooperation with the Laboratory of Image Data Science (www.lids.ic.unicamp.br), Institute of Computing (www.ic.unicamp.br/en), University of Campinas - UNICAMP (www.unicamp.br/unicamp/english), Campinas, SP, Brazil.

This fellowship is part of a Thematic Project entitled "AnImaLS - Annotation of Images in Large Scale: what can machines and specialists learn from interaction?", with collaborators from the University of Campinas (Brazil), University of São Paulo (Brazil), State University of São Paulo (Brazil), University of Pennsylvania (EUA), West Virginia University (EUA), University of Groningen (Netherlands), and Jadavpur University (India). The goals of the project are the understanding and improvement of the machine learning process through human interaction, for the construction of explainable decision making and decision support systems based on image annotation. Given that the fellowship is part of a Thematic Project funded by FAPESP, it can be renewed up to 48 months.

Nº: 1489:
This fellow position requires research, development, and validation of parasitological techniques that are suitable to the automated diagnosis of gastrintestinal parasites in domestic felines (cats) and canines (dogs). Our diagnosis system is based on automated image acquisition and analysis, but it requires microscopy slides rich in parasites and as free as possible of fecal impurities. This imposes a challenge to the development of new parasitological techniques. The fellow will work in collaboration with graduate students in Computer Science, whose works involve image processing and analysis of parasites.

Nº:  1490
This fellow position requires research, development, and validation of parasitological techniques that are suitable to the automated diagnosis of gastrintestinal parasites in bovines. Our diagnosis system is based on automated image acquisition and analysis, but it requires microscopy slides rich in parasites and as free as possible of fecal impurities. This imposes a challenge to the development of new parasitological techniques. The fellow will work in collaboration with graduate students in Computer Science, whose works involve image processing and analysis of parasites.

It is desirable that the candidate demonstrates knowledge domain in Diagnostic Parasitology.

The post-doctoral fellowship includes a monthly stipend of R$ 6.819,30 (about US$ 2,150 and EU$ 2,000), access to the health-care system of UNESP, and research contingency funds of 15% of the annual value of the fellowship. Please verify the details at fapesp.br/en/5427.

Interested candidates should email motivation letter for the application, recommendation letter from a previous supervisor, curriculum vitae with list of publications, education and experience, and copy of diplomas/degree certificate(s) to Alexandre Xavier Falcão (afalcao@ic.unicamp.br).

The deadline for applications is April 20th and May 15th, 2017.

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JOBS FROM THIS EMPLOYER
University of Campinas
University of Campinas
Location: Campinas - SP, Brazil | Closing on May 15
Post-doctoral fellowship in Computer Science
This fellowship is part of a Thematic Project entitled "AnImaLS – Annotation of Images in Large Scale: what can machines and specialists learn from interaction?", with collaborators from the University of Campinas (Brazil), University of São Paulo (Brazil), State University of São Paulo (Brazil), University of Pennsylvania (EUA), West Virginia University (EUA), University of Groningen (Netherlands), and Jadavpur University (India). The goals of the project are the understanding and improvement of machine learning processes through human interaction, for the construction of explainable decision making and decision support systems based on image annotation. Given that the fellowship is part of a Thematic Project funded by FAPESP, it can be renewed up to 48 months.
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