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Field
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statistical and computational methods to process and analyze data; You will write international peer-reviewed scientific papers; You will work in a collaborative environment that seeks to improve one another’s
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experimental molecular biology and data analysis. Doctoral candidates can specialize in genomic and molecular biology techniques, as well as in algorithms, statistics, and artificial intelligence for molecular
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learning, and statistics for bioprocesses). Personal suitability and motivation for the position. Qualifications considered an advantage Documented knowledge and experience in machine learning, deep learning
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Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V. | Dortmund, Nordrhein Westfalen | Germany | 3 months ago
conference and journal papers Your profile Masters, Diploma or equivalent degree in mathematics/statistics, IT/computer science, physics, computation biology, biomedical engineering or related scientific
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colleague? Apply now! Education Ph.D. in Computer Science, Data Science, Mechanical Engineering, Systems Engineering, Applied Mathematics, or a closely related discipline with a definitive focus on data
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, mathematics, biology, and epidemiology, developing and applying novel statistical methods and deep learning approaches for global health challenges. The group’s research spans disease modelling, genomic
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/mathematical-natural sciences field or have otherwise acquired knowledge to be able to benefit from third-cycle studies in the subject. Meriting competencies and experience In addition to the qualifications
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and international conferences. Preparing scientific publications and project reports. Your Profile Master’s degree in physics, soft matter, applied mathematics, chemistry, or a related field. Experience
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. • Master's degree with excellent grades in computer science, mathematics, physics, engineering, medical informatics, biomedical engineering, or a related field • Very strong undergraduate and graduate record
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, information technology, statistics, mathematics, computational linguistics, data science or related fields are encouraged to apply. A strong interest in interdisciplinary research and a commitment to addressing complex