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of these approaches, and how to generate robust inferences. We would expect you to be highly skilled at using programming languages such as R or Python. It is important for you to have a track record of implementing
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) programme . This is a fixed term position until March 2026. About STARSand HSMA and the work you will be involved with. STARS is an Open Science project that aims to increase the quantity and quality
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Job Description Are you looking to grow your career in intelligent embedded systems and edge computing? Join the Embedded Systems Engineering (ESE) research section at DTU Compute , where your
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] Subject Areas: Computational Biology / Data Analytics Machine Learning / Machine Learning Analytical Chemistry / Current Advances in Chemistry & Biochemistry Computational Science and Engineering
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: The centre has been recently created to address enduring process challenges in Chemistry and Engineering disciplines and create an environment for interdisciplinary research. The research program of ACER is
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spending accounts University HSA contributions Disability and life insurance Employee wellbeing program Financial counseling services Employee Assistance Program with eight sessions of counseling at no cost
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retinal tissue biopsy. The project is funded by the Emmy Noether programme of the German Research Foundation (DFG) for a three-year period, with the possibility of an additional three years. We offer: a
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countries, including EPSRC Programme grant "Symmetries and Correspondence". The principal investigator is Professor Ivan Fesenko. Professor Ivan Fesenko's Higher Number Theory page: https://ivanfesenko.org
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the field of quantitative biology or machine learning (broadly defined); strong written and oral communication skills; strong knowledge of Python programming; familiarity with DL frameworks (i.e. TensorFlow
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computer science, mathematics, computer engineering, or relevant technical field First-author peer-reviewed published papers (or under review) Proficient programming experience in Python and libraries (e.g., Pytorch