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simulators. Proficiency in Python, including data handling (pandas, NumPy), visualization (matplotlib) and integration within simulation workflows. Understanding of sector coupling (e.g. P2G, P2H), energy
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depends on the ability to support local people and communities everywhere. By working in and across multiple scientific areas, CALS can address challenges and opportunities of the greatest relevance, here
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: bioinformatics, computational biology, data science, biostatistics • Working proficiency in appropriate programming languages and software (eg. R, Python) • Excellent oral and written English
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fundamental drivers of metastasis, drug resistance, and other key cancer outcomes. Projects will be tailored to the candidate’s strengths and interests, with multiple creative, high-impact directions available
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skills in English. Proficiency in data analytics, visualization, and statistical analysis. Proficiency in at least one of the following programming languages: R or Python. Proficiency in Microsoft Office
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interventions, support policy making and optimize control strategies. Our approach is highly multidisciplinary, looking at infectious diseases through multiple perspectives, multiple scales and multiple data
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 3 hours ago
data is used to tackle the world’s most pressing environmental challenges. Analyzing the global environment at multiple geographical and jurisdictional levels – from cities, countries, and regions
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Planck Society. The Campus Martinsried hosts multiple academic institutions and numerous biotech companies. Munich stands out as one of Europe's premier hubs for life scientists, offering an exceptional
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experience in machine learning methods, tools, and platforms. Proficiency in Python, with demonstrated software development experience. Hands-on experience in MLOps, including the design and deployment
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research fellow position. The successful candidate for this position will work with Drs. Kathryn Colborn and Elizabeth Juarez-Colunga. The selected candidate will benefit from and contribute to multiple