251 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions in Netherlands
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PhD* in a topic such as animal acoustics, machine learning, quantitative ecology, quantitative biology, signal processing or similar. Evidence of the ability to conduct high-quality research and write
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of manuscripts. Selection Criteria Strong independent abstract thinking skills, hypothesis driven bioinformatics A PhD in bioinformatics/molecular/cellular biology/ computational biology Strong bioinformatics
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cultural geography and demography. FSS is also well-embedded in a wider range of disciplines, such as social, political and technology sciences. Our vision is to spatially transform society to support
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composition, processing, and consumer responses. The AI system developed will utilize advanced techniques such as machine learning, natural language processing, and predictive modeling to detect potential
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Deadline 31 Mar 2025 - 21:59 (UTC) Type of Contract Temporary Job Status Not Applicable Hours Per Week 40.0 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the
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; Demonstrated interest in research on the intersection of society and AI, preferably as it relates to forms of algorithmic bias; Experience with machine learning or computational modeling; Strong quantitative
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programming skills in Python (experience with MATLAB or R is a plus). Proven experience with deep learning and machine learning frameworks (e.g., TensorFlow, PyTorch). Background in computational modeling
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, mythical scenes of making, or depictions of making in sacred or military contexts). They will take into account (where applicable) how images interact with epigraphic frames and contexts of production and
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of making in ancient Roman visual culture (e.g. depictions of craftsmen at work, mythical scenes of making, or depictions of making in sacred or military contexts). They will take into account (where
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Engineering, Biomedical Engineering or similar with experience in (medical) image analysis and/or machine learning. Affinity or experience with biomedical research (sequencing techniques, hisopathology) is