553 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"IFM" positions at Nature Careers
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at international conferences Ability to work in a team Goal-oriented and structured approach to work Independent working style and commitment Willingness to learn and interest in interdisciplinary applied research
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challenges. You will have the opportunity not only to learn and move forward but also to make your mark. Thrive on our performance culture You are used to giving your all to your career. Shouldn't your
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, PowerPoint and statistical software are expected. Over the course of your role, you will be interacting with computational design pipelines and will be expected to acquire basic proficiency in Python. Your
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Job description: The University of Vienna is a cosmopolitan hub for almost 11,000 employees, of whom around 7,700 work in research and teaching. They want to do research and teach at a place that
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maintain malignancy, evaluating novel selective dependencies and resolving the mechanisms governing dependency, and application of machine learning, artificial intelligence, and other advanced data science
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Theory Organizational Behavior Ability and interest to teach in undergraduate and master's programs in English are essential. Applicants need to have completed their PhD (or be very near completion when
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eagerness to learn from different avenues. Addresses needs/ problems in a logical manner, using defined approaches. Has clear, concise communication in both verbal and written communication. Listens
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, including CAR-T cell therapies. Qualifications: Applicants must hold an MD, PhD, or MD-PhD. A strong background in immunology, neuroscience, and/or cancer biology is essential. Prior experience with iPSCs
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to teach an undergraduate course focusing on essential principles of effective teamwork, leadership, communication, and conflict resolution, with a special emphasis on the role of Human-Centered AI in
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to teach an undergraduate course, "From Vision to Execution," focused on core project management principles for AI-driven projects. The course emphasizes applying both traditional and agile methodologies