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attending an academic Bachelor’s degree in the scientific field mentioned above. Knowledge or experience (preferred) on machine learning or computer vision techniques, and interest in developing such skills
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following criteria: PhD in Computer Engineering, Computer Science, Electrical Engineering, or a closely related field Demonstrated research excellence, evidenced by peer-reviewed publications Expertise in
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Speirs. The University of Aberdeen is home to the Aberdeen Computational Biology Forum, which brings together biomedical scientists, statisticians, computer scientists and physicists from across
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. What you should have: A 1st degree in physics or engineering. An interest in optics, some ability in computer programming A desire to learn new skills in complementary disciplines. You will work jointly
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. The department offers an ABET-accredited Bachelor of Science and a Master of Science in Computer Science, and a PhD program in Computer Science, which began in Fall 2024. The department faculty members perform
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other relevant duties deemed necessary. Qualifications Bachelor’s and/or Master’s Degree in Computer Science or Computer Engineering, Informatics or a relevant; PhD in Computer Science or Computer
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, biochemistry, omics data analysis, or a related field • Hands-on experience with mouse models and cell culture • Solid molecular biology and computer programming skills • Excellent communication skills in
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performance with classical methods. Qualifications PhD in Physics, Computer Science, Applied Mathematics, or related fields. Strong background in at least one of the following: machine learning, quantum
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interdisciplinary research community at the EPFL School of Life Sciences fosters interactions with allied disciplines on campus, including engineering, physics, chemistry and computer sciences. EPFL offers an English
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factors. The LCSB recruits talented scientists from various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently