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] Subject Areas: mathematical modeling, statistics, machine learning, data-driven modeling, dynamical systems, optimization Appl Deadline: 2026/03/31 23:59:59 (posted 2026/02/19) Position Description: Apply
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to structured programming in C++ and Python - knowledge of linux / unix operating system - fluent knowledge of spoken and written English - fundamental knowlegde of machine learning (and statistics) - good level
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will also profit from the vibrant research community around machine learning of the SCADS.AI center (https://scads.ai ) and the recently granted Excellence Cluster REC² – Responsible Electronics in
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State University of New York University at Albany | Albany, New York | United States | about 4 hours ago
to their interests and expertise. Areas of particular interest include, but are not limited to, computer hardware, architecture, and programming. Primary Responsibilities: Teach classes in electrical and computer
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PhD students through the University’s Academic Information System. Develops positive and active working relationships with internal and external constituents including but not limited to the PSD Dean
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strengths of the University of Tübingen in Computer Sciences and Machine Learning. Potential research directions include, but are not limited to, phylogenetic, demographic, ecological and biogeographic
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are essential. In addition to applicants furthering the Department's current areas of specialisation, we welcome those with complementary expertise, notably in continuous optimisation and/or machine learning
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. · Artificial Intelligence, Machine Learning, and Data-Driven Systems – edge AI, embedded intelligence, and neuromorphic computing. · Cybersecurity & Privacy – hardware and IoT security, post-quantum cryptography
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Caribbean populations of African descent. Most mechanistic insights derive from non-representative cohorts, limiting biomarker discovery and therapeutic precision. Recent multi-omic and machine learning
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databases. Additionally, you will coordinate and monitor PhD qualifying examinations clearing students for graduation, monitor and update the SES Graduate Student Manuel, develop and publish graduate student