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completion) in applied mathematics, computer science, or a closely related field. Strong background in numerical linear algebra, algorithm design, and parallel computing. Proficiency in programming languages
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transdisciplinary, entrepreneurship spirit and collaboration with external institutions for developing up to date science and at continent level in order to address real challenges. All our programs run as start-ups
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vigorous, externally funded research program and contribute to teaching in medical biology, molecular medicine, or related disciplines. We encourage applications from scientists addressing fundamental
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play an active role in the life of the program, organizing seminars, workshops and conferences related to the chemical and Process Engineering stream. The candidate will also be expected to participate
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to address enduring process challenges in Chemistry and Engineering disciplines and create an environment for interdisciplinary research. The research program of ACER is multidisciplinary, with faculty members
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play an active role in the life of the program, organizing seminars, workshops, and conferences related to the chemical and Process Engineering stream. The candidate will also be expected to participate
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distinctive research-teaching program of international level, to meet the research and teaching challenges of UM6P, on green and environmental chemistry applied to all aspects of chemical sciences: organic and
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an environment for interdisciplinary research. The research program of ACER is multidisciplinary, with faculty members from backgrounds in Chemistry, Chemical Engineering, and Environmental Engineering focusing
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Wicked Problems (WiP) framework within our undergraduate program. The successful candidate will bring deep technical expertise and educational engagement to interdisciplinary projects requiring advanced
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activities. Qualifications: Ph.D. in Bioinformatics, Computational Biology, Computer Science, Genomics, or a related field. Strong background in machine learning, particularly deep learning and natural language