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publication: computational biology/bioinformatics, cheminformatics, analytical chemistry/mass spectrometry/metabolomics, or machine learning/computer science.Term of appointment is based on rank. Positions
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motivated candidate who has A PhD in agricultural science, crop modeling, agroecology, digital agronomy or similar Collaborative skills and ability to demonstrate commitment in teams A fondness of taking the
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Postdoctoral position in structural and biophysical analysis of plant hormone transporters within...
University, comprising a vibrant research and education environment. The department currently has 75 full time scientific staff, 95 PhD students and a yearly uptake of around 160 students housed in the same
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Post Doctoral work in the planning, conducting and/or supervision of original research. Responsible for participating in a research project associated with PhD studies and the interpretation
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University, comprising a vibrant research and education environment. The department currently has 75 full time scientific staff, 95 PhD students and a yearly uptake of around 160 students housed in the same
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motivated candidate who has A PhD in agricultural science, crop modeling, agroecology, digital agronomy or similar Collaborative skills and ability to demonstrate commitment in teams A fondness of taking the
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 2 months ago
: PhD in nuclear engineering, applied physics, computational science, or a closely related field; demonstrated experience in Multiphysics modelling, numerical methods for PDEs, and code verification and
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amenable to therapeutic targeting. This position will involve the application of advanced data science approaches to explore large-scale clinical datasets extracted from electronic health records, with
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Postdoctoral Associate Required Qualifications: (as evidenced by an attached resume) PhD (or foreign equivalent) in Physics, Electrical Engineering, Material Science or closely related field in hand
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: Collaborate with interdisciplinary teams including computer scientists, statisticians, and domain experts to apply tensor completion techniques to real-world applications, especially in the case of social