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science. Your competencies PhD in computer science, statistics, data science, or a closely related field. Expertise in probabilistic machine learning, optionally generative and Bayesian models. A strong
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, the UCPBL certificate programme or tailor-made training courses by request. Knowledge of engineering education and teaching experience from a PBL environment is an advantage. With these expectations, it is
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the other open PhD and postdoc cohort positions at http://www.capex-p2x.com . The research area will be within modeling of electrical engineering systems applied in Power-2-X systems incl. power
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and efficient data transmission, fault-tolerant communication, and navigational data integrity will also be explored. The ideal candidate has completed a PhD in mathematics, or related fields, with a
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scientific qualifications at PhD–level or similar scientific qualifications. The research potential of each applicant will be emphasized in the overall assessment. Appointment as a Postdoc cannot exceed a
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research, which is enabled by world top-notch laboratory facilities. Qualification requirements Appointment as Postdoc presupposes scientific qualifications at PhD–level or similar scientific qualifications
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at the University. Qualification requirements Appointment as Postdoc presupposes scientific qualifications at PhD–level or similar scientific qualifications. The research potential of each applicant will be
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materials, mechanics, physics, production technique, and industrial management and innovation. Benefitting the industry and additional collaborators several innovative and unconventional collaborations have
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applicable research. The activities encompass research as well as education within materials, mechanics, physics, production technique, and industrial management and innovation. Benefitting the industry and
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mentoring students. Qualification requirements The ideal candidate has: A PhD in bioinformatics, computational biology, biostatistics or metabolomics Proven expertise in omics data analysis A history of high