26 machine-learning-"https:"-"https:"-"https:"-"https:" uni jobs at Heidelberg University
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tasks and seminars, training of new group members in laboratory techniques) Independent work ethic and desire to learn new methods and protocols Basic R computer programming skills Basic software skills
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thinking abilities. Demonstrated strong commitment to student-centered active learning and student engagement activities. Demonstrated experience, knowledge, and appreciation for a liberal arts tradition
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Heidelberg University is accepting applications for an Assistant Professor of Computer Science and Data Analytics. The successful candidate will be a generalist who can teach a wide variety of
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class in an online learning modality Tools and Equipment Used: Knowledge of operation and use of various office equipment, including, but not limited to: personal computer, including spreadsheet and word
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, caring, loyalty and accountability in all work. Intellectual dynamism – demonstrates mental sharpness, capability and agility. Self-knowledge – gains insight from successes and mistakes. Personal learning
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professional development. Additional responsibilities include service to the School and University. This is a three-year position with the possibility of extension. Essential Duties and Responsibilities: Teach
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community. Supervision Received: Reports directly to the Senior Director of the Owen Center for Teaching and Learning. Supervision Exercised: May supervise interns. Essential Duties and Responsibilities
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Responsibilities: Teach a full-time teaching load (24 credit hours/year) which includes lecture and laboratory courses in anatomy and physiology, cadaver prosection, and other relevant courses in the school
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teaching ability. Essential Duties and Responsibilities: Teach a full-time teaching load which could include: Introduction to Criminology and Criminal Justice, Research Methods and Statistics, Corrections
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for Astronomy in Germany. The StarForML group focuses on developing robust machine learning tools for the evaluation of star formation observations. We aim to gain new insights into how star formation progresses