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The AITHYRA-CeMM Joint International PhD Call in Molecular Medicine and Artificial Intelligence (m/f
for both life scientists and computational scientists/machine learning experts will start in September 2026. We offer: a highly interactive introductory program in a supportive peer-group environment
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to provide support and guidance. ● Lead training for camps focused on data use and interpretation for program improvement. Project Management and Evaluation Coordination ● Coordinate data collection efforts
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). Experience in interdisciplinary team-based research. Preferred Qualifications: Prior research experience in computational biology, applied mathematics, or quantitative biology. Familiarity with numerical
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experience (front-/back-end, metrology/inspection, equipment maintenance, yield-improvement projects). Digital twin, IIoT, MLOps, real-time data streaming, edge computing. Causal/XAI, Bayesian methods
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professionals regarding production methods. The successful candidate will also participate in extension activities, and collaborate with other faculty in the Master Gardener program to update the Master Gardener
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experience with molecular biology. Familiarity with protein analytical methods. Good interpersonal and communication skills to obtain help when needed, such as learning new techniques from collaborators. Skill
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. Familiarity with protein analytical methods. Good interpersonal and communication skills to obtain help when needed, such as learning new techniques from collaborators. Skill with molecular cloning. Experience
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University of Massachusetts Medical School | Worcester, Massachusetts | United States | about 1 month ago
molecular drivers of local inflammation Contributing to the development of computational methods for integrating genetics with spatial and temporal immune responses The position provides opportunities
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lead or contribute to the rapid development and publication of numerous outstanding research articles. Experience in developing space instruments is also advantageous. A Ph.D. in Space Physics or a
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independently and collaboratively. Strong organizational and record-keeping skills. Ability to learn and apply new experimental methods. Excellent communication and problem-solving skills. Commitment