774 phd-position-computer-science-"IMPRS-ML"-"IMPRS-ML" positions at Northeastern University
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: 6356366 Part-Time Lecturer (Bioengineering) About the Opportunity The Department of Bioengineering, College of Engineering, invites applications for the Part-Time Lecturer position for teaching selected
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tenets of a Northeastern education: experiential learning, global opportunities, and cross-disciplinary work across colleges and STEM disciplines (including computer science, engineering, and science). The
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to collaborative projects that explore the intersection of complex systems and public health. Qualifications PhD in a related discipline (e.g., epidemiology, applied mathematics, statistics, or network science) by
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, and the environment from biological hazards. Working collaboratively with faculty, researchers, and laboratory staff, this position plays a key role in promoting a culture of safety and responsible
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are normally obtained through a Bachelor's degree in Linguistics, Computational Linguistics, Computer Science, or related field; with a minimum of 2 years of experience working with large language models and
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to assist in the precise diagnosis of major diseases, including cancer and cardiovascular disease. QUALIFICATIONS: PhD in Electrical Engineering, Applied Physics, Biomedical Engineering, or a relevant field
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About the Opportunity The D’Amore-McKim School of Business and Khoury College of Computer Sciences at Northeastern University in Boston, Massachusetts invite applications for a joint tenure-track or
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About the Opportunity JOB SUMMARY The Finance Associate provides administrative and financial support for the College of Science, ensuring the COS Finance team is supported and providing some direct
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medicine, complex disease mechanism, systems pharmacology, bioinformatics, and network science/statistical physics. This position at Northeastern University may include opportunities to collaborate with
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support from a faculty lead and will hold office hours as appropriate. Qualifications PhD in bioinformatics, biology, or a closely related field. Experience with the application of computational methods