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work schedules tailored to your needs as well as remote work are key parts of our work culture. An exciting and varied job where you will gain deep insights into a research institute as well as national
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cybersecurity research. Who you are: You have BS in machine learning, cybersecurity, statistics, or related discipline with ten (10) years of experience; OR MS in the same fields with eight (8) years
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work schedules tailored to your needs as well as remote work are key parts of our work culture. An exciting and varied job where you will gain deep insights into a research institute as well as national
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for such applications. To respond to these challenges, this project aims to investigate automated decision making based on machine learning. The candidate (H/F) will propose and validate centralized as
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models. Your tasks: Research, development, and evaluation of Machine Learning and Deep Learning methods Prototype development Literature review Publication and presentation of scientific results in
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of porous liquids (Types 1 to 3) for CO2 capture and separation applications. A proven work experience in the synthesis of neoteric solvents (like ionic liquids, deep eutectic solvents, other P-based solvents
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 7 hours ago
. There is a student enrollment of 13,000 students, with a full-time faculty of over 600, offering 90 undergraduate and more than 70 graduate programs. The University actively promotes a dynamic learning
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projects. The role will also provide the opportunity to learn and develop medicinal chemistry skills as applied to drug design. The role is ideal for someone who has, or is about to be awarded, a PhD in
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University explores synergies between nonlinear control theory and physics informed machine learning to provide formal guarantees on performance, safety, and robustness of robotic and learning-enabled systems
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that highlights relevant expertise About the Division of Biostatistics We are a tight knit entrepreneurial group of six faculty. We address important biomedical problems through deep collaborations with researchers