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/210000000/0013700149.pdf ). 5.Workplace: The work will be carried out at the Laboratório de Saúde, Envelhecimento e Cinética of the University of Algarve, under the scientific supervision of Professor/PhD
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Engineering. Admission requirements: Candidates must cumulatively meet the following requirements: Requirement 1: Be enrolled in a PhD programme in Data Science and Engineering; Electrical and Computer
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following requirements: -PhD in Biological Sciences (including Bioinformatics, Microbiology or Computational Biology); -Less than 3 years of postdoctoral experience; -Experience in mathematical modeling and
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, renewable up to 2-years (in case the scholarship is awarded to a student enrolled in a Master's program) or 4-years (in case the scholarship is awarded to a student enrolled in a PhD). 6 – Activity Regime All
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of the following programmes: • Degree course: PhD. • Non-conferring degree course: integrated in the educational project of a higher education institution. Requirement for granting the fellowship: •Applicants may
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at CiTUR, under the scientific supervision of the professor(s) PhD: Paulo Almeida . Financial components of the fellowship: Monthly maintenance allowance, in the amount of €1040.98, according to the table of
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LIP - Laboratório de Instrumentação e Física Experimental de Partículas | Portugal | about 2 months ago
according to the same rules. Eligibility criteria Applicants should fulfil the requirements to join a course granting a higher academic degree (PhD) or in a non‐academic degree course, as stipulated in
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LIP - Laboratório de Instrumentação e Física Experimental de Partículas | Portugal | about 2 months ago
criteria Applicants should fulfil the requirements to join a course granting a higher academic degree (PhD) or in a non‐academic degree course, as stipulated in the “Regulations for Research Grants
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: - PhD in Informatics, Chemical and Biological Engineering, Biomedical Engineering or similar areas; - Non-degree course. Requirement for granting the fellowship: The applicants may apply without prior
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candidates holding a PhD degree in Computer Engineering, Data Science, Computer Science, Electrical Engineering with a strong computational background, or related scientific areas. Proven research experience