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. degree in Electrical and Electronic Engineering or a closely related field, with a strong commitment to research and teaching. A solid track record in research is essential, preferably in wireless
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detection and multi-animal tracking in complex environments. Behavioral analysis and animal posture recognition. Image processing under uncontrolled conditions (variable lighting, occlusions, movement
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. Bonus lectures can be picked by the students depending on their interests and project-specific requirements. Students can deepen their knowledge about selected topics (e.g. Bayesian Statistics, HMMs, AI
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in AI and machine learning – from classical approaches to large language models. You are proficient in Python and key ML libraries (e.g. scikit-learn, PyTorch, LLM APIs), and you have a track record of
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Department: Biomedical Engineering Salary: Commensurate with experience Description: The Department of Biomedical Engineering at the University of Houston invites application for a non-tenure track
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for a full-time position of PhD researcher for 36 months. Preferred starting date: 1-15 of October 2025. Eligibility criteria According to the track information provided the elegibility criteria will be
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metamateriály Advanced Polymers and Composites Research Group is looking for an experienced polymer materials scientist with a proven track record in nanocomposite preparation, characterization, theoretical
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/files/legislatie/Meto… LanguagesENGLISHLevelGood LanguagesROMANIANLevelGood Research FieldChemistryYears of Research Experience1 - 4 Additional Information Eligibility criteria PhD- student with tracked
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Research Assistant Professor, Research Associate Professor, Assistant Professor, Associate Professor
in professional journals. Job Duties The Department of Pharmacology and Toxicology at ECU invites applicants for a full-time (12-month) research or tenure-track faculty position in Pharmacology
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practices (e.g., Buddhism, you will have a track record of interdisciplinary work at the nexus of artificial intelligence and neuroscience. Experience collecting multi-modal neurophysiological data would be