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Czech Academy of Sciences, Institute of Information Theory and Automation | Czech | about 2 months ago
machine learning, perception psychology, hardware prototyping and/or computer graphics as well as interest in fundamental research and experimental working. Strong skills in VR, deep learning, computer
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about the PhD programme, https://www.cbs.dk/en/research/phd-programme . CBS PhD graduates are held in high esteem not only in academia and research institutions but also in government and business where
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experience in NGS data analysis and genomics pipelines since similar to proteomic pipelines. Record of prior first-author publications. A deep interest in biomarker research and discovery. The drive to pursue
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should possess a PhD in Computer Science or related area. We are looking for candidates who have publications in top conferences like NeurIPS, ICML, ICLR, CVPR, etc. A strong background in deep learning
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for a candidate with: an MSc in computer science, artificial intelligence or a related field a creative and collaborative mindset strong programming skills in Python or Rust strong skills in deep learning
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in medical image analysis. The ideal profile should demonstrate experience in developing deep learning algorithms applied to radiological imaging, particularly in breast and thoracic domains. Knowledge
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(Wissenschaftszeitvertragsgesetz - WissZeitVG). The position offers the chance to obtain further academic qualification (usually PhD). The project: We are seeking motivated researchers to join our international team
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learning and deep learning Extensive experience with modern ML and NLP methods, including experience with implementing experiments, and publishing in top-tier venues (e.g. ICML, ICLR, NeurIPS, ACL, EMNLP
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expertise in research and development in the following areas of AI and Data Science : Machine and deep learning, NLP, BDI (Belief-desire-intention) systems, and Large Language Models (LLMs). Expertise in
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bachelor's degree in biology, neuroscience, psychology, engineering, or equivalent who is planning to attend an MD-PhD or PhD program in neuroscience, bioengineering, or related field. At least 50% of the