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clinical data and machine learning algorithms. The main activities include: Data Processing: • Collection of historical patient data (demographics, clinical history, outcomes of interventions). Data cleaning
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clinical data and machine learning algorithms. The main activities include: Support for AI Model Development: • Collaborating on the training of predictive models under the supervision of the scientific team
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of genetic diversity in maritime pine populations for resin production; Genome- wide association studies. Fellowship duration: The grant is expected to start on February 2026. The contract has a duration of 3
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, sex, sexual orientation, marital status, genetic information, gender identity/expression (consistent with applicable law), age (40 or older), religion, disability, political beliefs, or status as a
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. Implementation of signal detection algorithms and triangulation ; 4. Planning and participating in field tests to evaluate system performance; 5. Reporting and disseminating the work developed (ideally with a
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The Instituto Nacional de Saúde Doutor Ricardo Jorge, I.P. (INSA), Department of Human Genetics, opens a call for the attribution of one Research Grant to candidates (M/F) with a Bachelor's degree, under Project
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, origin or social status, genetic heritage, reduced working capacity, disability, chronic illness, nationality, ethnic origin or race, territory of origin, language, religion, political or ideological
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, economic situation, education, origin or social status, genetic heritage, reduced working capacity, disability, chronic illness, nationality, ethnic origin or race, territory of origin, language, religion
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without regard to race, color, creed, religion, age, marital status, national origin, sex, sexual orientation, disability, genetic information or status as a disabled veteran or Vietnam-era veteran. Non
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on grounds of ancestry, age, sexual orientation, marital status, family situation, economic situation, education, origin or social status, genetic heritage, reduced working capacity, disability, chronic