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Field
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packages and tools (e.g., Numpy, Pytorch, Tensorflow, ART). You have knowledge or familiarity with reverse engineering tools (e.g. NSA Ghidra, IDA Pro) You have experience with Python, C/C++, or low-level
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back boundaries and set a course for the future – a future that you can help to shape. The research group Energy and Materials in Infrastructure and Buildings at the Department of Building sciences in
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. Requirements Successful candidates will hold a PhD, MD, or equivalent degree in pathology, immunology, cancer biology, or a related field, and demonstrate a strong record of research excellence evidenced by
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health behaviors. The position may include some classroom teaching in statistics and/or research methods. The position affords opportunities for professional development and advancement, with guidance
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research project and/or group. Plans and delivers technical workshops for faculty, PhD students, and research professionals. Uses subject matter and best practices knowledge to perform lab and/or research
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packages and tools (e.g., Numpy, Pytorch, Tensorflow, ART). You have knowledge or familiarity with reverse engineering tools (e.g. NSA Ghidra, IDA Pro) You have experience with Python, C/C++, or low-level
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. Position Requirements: Required Knowledge, Skills, and Abilities: • A Ph.D. with a broad knowledge of electric power systems. • A strong background in artificial intelligence (AI)/machine learning (ML
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fellowship position is available for candidates who will have obtained their PhD in clinical, counseling, or school psychology and completed an APA/APPIC approved internship before September 1, 2025
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Biology, Biostatistics, Bioinformatics, Computer Science, Data Science, or related discipline. * At least 1 year of experience in bioinformatics research. * Quantitative training with good understanding
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Engineering or a related discipline. Experiences in Machine Learning, Deep Learning and Artificial Intelligence. Strong programming skills (Python) Good knowledge of AI frameworks like TensorFlow, PyTorch