15 machine-learning-"https:"-"https:"-"https:"-"https:"-"U.S" positions in South Africa
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Professor / Associate Professor (Faculty of Health Sciences: Department of Sport & Movement Studies)
an Associate Professor/Professor qualified and registered by the Health Professions Council of South Africa as a Biokineticist, who will contribute actively towards teaching and learning, research and community
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senior lecturer qualified in the field of Optometry, who will contribute actively towards teaching and learning, research, and CPD development; in line with the vision, mission, and goals of the University
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well as an advanced diploma in Architecture. Responsibilities: The incumbent will be expected to be able to fulfil the responsibilities of an associate professor, which include the following: Facilitating learning
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service, or similar circumstances, as well as clinical practice or other forms of appointment / assignment relevant to the subject area. Project 1: Growth dynamics of the world’s longest-lived algae
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Research Fellows/having been a Postdoctoral Fellow one-self. Competencies and Behavioural Attributes: Computer Literacy. Proficiency in English. Good organisational, interpersonal and communication skills
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will be expected to actively participate in and support the primary goals and objectives of the Faculty and the Department in pursuit of this vision and strategic objective. Responsibilities: Teach
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will be expected to actively participate in and support the primary goals and objectives of the Faculty and the Department in pursuit of this vision and strategic objective. Responsibilities: Teach
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will be expected to actively participate in and support the primary goals and objectives of the Faculty and the Department in pursuit of this vision and strategic objective. Responsibilities: Teach
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will be expected to actively participate in and support the primary goals and objectives of the Faculty and the Department in pursuit of this vision and strategic objective. Responsibilities: Teach
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models (e.g., deep learning, reinforcement learning, probabilistic graphical models) for applications in genomic prediction, GWAS, GS, gene-editing target discovery, and multi-trait selection. Conduct