53 10-phd-candidates-or-postdoctoral-researchers-in-machine-learning-and-deep-learning Postdoctoral positions
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data. A core technology leveraged by researchers at the center is deep machine learning, targeting the development of innovative tools and concepts in both the area of molecular biology and the field
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Position: Postdoctoral Researcher in Vision-Language-Action Models and Physically Informed Neural Networks for Surgical Robotics Publication date: 30.09.2025 Closing date: 29.10.2025 Level of education: PhD
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(ongoing PhD project). These pre-screened datasets will then be analyzed by various machine learning techniques (dimensionality reduction, unsupervised clustering, artificial neural networks, auto-encoders
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. The researcher is expected to have (i) strong machine learning skills to improve model performance and robustness, and (ii) exemplary passion and motivation to pursue multidisciplinary research at the intersection
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in the Earth's outer core, with implications for deep Earth processes [1]. A variety of inverse methods (data assimilation, machine learning, etc.) has been employed to recover the fluid motions in
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collaborative team environment with strong mentoring opportunities and exciting potential for career advancement. Ideal Candidates Are you passionate about innovative research that has the potential
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transcriptomics data analysis. Experience in quantitative image analysis, computer vision, or digital pathology. A strong background in cancer biology or immunology. Experience with machine learning, deep learning
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, and the dissemination of research outcomes. Your competencies The ideal candidate has a strong background in speech and audio signal processing combined with expertise in machine learning. You should be
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-regulation-of-diseases-carsten-daubs-research-group#tab-start Choose to work at KI – Ten reasons why Application An employment application must contain the following documents in English or Swedish: PhD
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thesis project. Your profile We are looking for a highly motivated candidate with a background in machine/deep learning, and communication networks. The required qualifications include: PhD in computer