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available single-cell sequencing data generated from patient samples and mouse models, we will enhance and apply machine-learning based algorithms to deconvolute bulk tumor RNA-seq samples to distinct immune
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programming is required. Preferred Qualifications We are seeking an individual with expertise in computational methods and analysis using machine learning with an interest in STEM research and training in
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Department: Vision Sciences Salary: Commensurate with experience Description: Possesses, understands, and applies a comprehensive knowledge in area of specialization. Develops understanding and
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Computer Science, Math, Statistics (in hand at time of hire) or a related field are eligible to apply. Life sciences (Biology, Genetics, Biochemistry, etc.) PhDs with computational experience are also
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(or near completion) in computer science, machine learning, mathematics, computational biology, or a related field Strong publication record in top-tier venues (e.g., NeurIPS, ICML, ICLR, JMLR, AAAI
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. You will write research articles and present the results at national and international conferences. It is essential that you hold a PhD/DPhil in computational biology, genomics, bioinformatics
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networks. The research will employ mathematical modelling and computer simulation to identify synaptic plasticity rules which enable effective learning in large and deep networks and is consistent with
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. Applicants for the postdoctoral position must have a PhD in Computer Science, Computer Engineering, Cyber Security or closely related fields. Applicants for the research associate position must have a MSc or
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Profile: A Master`s degree and an excellent PhD degree in Biochemistry, Chemistry, or a related Molecular Science Proven Track Record in Machine Learning, Molecular Simulations, Chemoinformatics
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or Postdoctoral position (m/f/d) - Interpretable Machine Learning for Catalytic Reaction Network Discovery. A full-time PhD or Postdoctoral position is available in a collaborative Max Planck research