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Field
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: Biochemistry Microbiome ecology Metabolic modelling Python and/or R Microbiome bioinformatics Longitudinal or temporal data analysis Microbial ecology and community dynamics This profile would suit someone with
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 3 months ago
: The grant will have a duration of 3 months, with an expected starting date of July 2026, and may be renewed up to the maximum limit permitted under the applicable regulations. The granting of the scholarship
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analysis and programming (e.g. Python) Proven track record of successful publications Very good oral and written English skills Team player Additional Information Benefits We offer Our institution is based
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maximum limit of 50 of the monthly maintenance stipend. INESC TEC supports costs with registration, enrolment or tuition fees, during the grant duration, under the terms established in the internal document
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, and large-scale data analysis and computational biology. For more information about Dr. Chen’s lab, please visit here. As a successful candidate, you will: Engage in a variety of advanced techniques
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, according to a quarterly evaluation process (Articles 19, 21 and 22 of the Regulations for Grants of INESC TEC and Annex II), up to a maximum limit of 50 of the monthly maintenance stipend. INESC TEC supports
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be awarded potential supplements, according to a quarterly evaluation process (Articles 19, 21 and 22 of the Regulations for Grants of INESC TEC and Annex II), up to a maximum limit of 50
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research will test whether seeing animals express emotions, play, or interact positively with humans can increase empathy and concern for their welfare. By focusing on rats, an often misunderstood species
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limited to: Designing and managing one or more research projects aligned with the Institute’s strategic priorities. Conducting interdisciplinary legal and policy research addressing questions
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the network. You will also participate in the analysis and interpretation of respiratory virus hospitalization surveillance data, including applying epidemiologic and statistical methods, developing