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? Not funded by an EU programme Reference Number EU22/28 Is the Job related to staff position within a Research Infrastructure? No Offer Description ACADEMIC DEGREE Phd (Exclusive requirement: provide
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scenario of global change". Principal Researcher: Mrs. [PhD] Barral Muñoz. Requirements Research FieldBiological sciences » BiodiversityEducation LevelBachelor Degree or equivalent Specific Requirements
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and plant) - Use of equipment for measuring soil/plant water status and soil respiration - Use of computer programs such as: image processing, gis and statistical data analysis. Specific Requirements
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spatiotemporal scale. This PhD aims to identify key areas of interaction, map illegal fishing activities, and inform targeted conservation measures. Recommendations from this research can guide policymakers in
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requirements to join the PhD program of Universidad Pontificia Comillas de Madrid. Good Spanish and English level (understanding, writing and speaking). Knowledge on power systems, statistics and machine
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toolsuite Good understanding of statistics and bioinformatics Education and training You hold a Phd in bioinformatics and relative disciplines Languages You are proficient in English Technical skills Ability
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requirements, scientific methodology, statistics and writing of publications Education: Medical Degree or equivalent (preferred), PhD, PharmD or equivalent graduate level health care professional degree required
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qualifications PhD in the field of biosciences Experience and knowledge Required: 4 years of work experience Experience in cellular and molecular biology assays Background in immunology, molecular and cellular
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UNIVERSIDAD CATÓLICA DE MURCIA - FUNDACIÓN UNIVERSITARIA SAN ANTONIO DE MURCIA | Spain | 2 months ago
with a multidisciplinary team to contribute with results in scientific projects. - Design and conduct multivariate statistical studies based on data obtained. - Study and implement machine learning
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data transformation, feature engineering, unsupervised learning, supervised learning, and reinforcement learning. -Conduct large-scale statistical A/B testing to assess the performance of machine