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Job Description Do you want to do research on cutting-edge machine learning methods? If you are building a career as a researcher in machine learning and are passionate about working with cutting
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expected to collaborate with the PhD students in the group. Development of instruments an software You will contribute to developing the experimental instruments, in particular the optical setup and the
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predictive framework linking genomic data to extinction risk, working at the interface of evolutionary genomics, simulation modelling, and machine learning. By integrating forward-in-time simulations, real
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project. The research will bridge both established and emerging technical expertise within the section, encompassing areas such as FPGA and neuromorphic computing, Edge AI, machine learning, power
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hold a PhD in physics, but other fields within the natural sciences may be considered for applicants with a strong profile on the points listed below. Experience with experiments based on femtosecond
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operate experimental facilities (electrolysis, PCM, BESS, etc.) and develop tools related to PtX testing, modelling, control, and energy system integration Co-supervise BSc, MSc, and PhD students and
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of fracture can directly inspire the design of new architected and disordered materials with enhanced toughness and reliability. Your profile Applicants should hold a PhD in mechanics of materials, physics
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of fracture can directly inspire the design of new architected and disordered materials with enhanced toughness and reliability. Your profile Applicants should hold a PhD in mechanics of materials, physics
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stronginterest and experience with GIS data and tools for urban mobility with someprogrammingskills of Python/R, JavaScript, database management environments, Geographical AI and machine learning workflows
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. Find more information on “Enzyme Engineering Group” here . Qualifications Completed PhD in the field of Biochemistry, Molecular Biology, Biotechnology or relevant field. Strong background in enzymology