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with others and contribute to a team environment. Technical Proficiency: Skilled in using office software, technology, and relevant computer applications. Communication: Strong and clear written and
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and at national/international conferences. Collaborate with an interdisciplinary team of biostatisticians, computer scientists, and climate scientists. Contribute to open-source code, reproducible
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. Attention to detail. Computer skills. Collaboration. Required Documents Resume/CV Cover Letter Comprehensive Benefits Package: Coverage begins on day one for health, dental, and vision insurance and includes
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Austrian Academy of Sciences, the Austrian Archaeological Institute OeAI | Austria | about 2 months ago
into a multidisciplinary work environment, and strong team spirit Good computer skills, especially experience with CAD and 3D modelling software, and processing of 3D point clouds Willingness to travel
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working at the intersection of machine learning, algorithmic fairness, human-computer interaction, and responsible AI. The project aims to investigate how bias emerges in data pipelines and AI systems
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vision and novel applications of machine learning. Advanced knowledge of R or Python is required. Intermediate knowledge in C/C++ and/or at least one SQL dialect is preferred. Apply online at https
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environment with standard laboratory conditions. 2. Must be able to work at a computer for extended periods for data analysis, and manuscript preparation. 3. May require routine work with biological samples
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, statistics, or computational neuroscience. Excellent written, verbal and computer skills. Excellent communication and interpersonal skills. Must be able to work independently and/or collaboratively. Excellent
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the development of mathematical models for signal transmission and reception, derivation of fundamental performance limits, algorithmic-level system design, and performance evaluation through computer simulations
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formation, intergroup relations, and the distribution of resources on online platforms. This is an excellent position for a computational social scientist or a computer/data scientist eager to transition