13 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "Imperial College London" PhD positions at University of Antwerp
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industrial Ph.D. position focused on developing scalable, Machine Learning (ML) pipelines for genomic and epigenomic biomarker discovery from Oxford Nanopore Technologies (ONT) long-read sequencing data
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diverse characteristics to apply. Where to apply Website https://academicpositions.com/ad/university-of-antwerp/2026/doctoral-scholarshi… Requirements Research FieldArchitectureYears of Research Experience1
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, sexual orientation or age. We encourage people from diverse backgrounds and with diverse characteristics to apply. Where to apply Website https://academicpositions.com/ad/university-of-antwerp/2026/senior
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or Nextflow A willingness to learn and apply machine learning approaches Offer A doctoral scholarship for a period of 1 year to start, with the possibility of renewal for a further three-year period after
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)Medical Sciences within the interfacultary research group Cell Biology and Histology (CBH: https://www.uantwerpen.be/en/research-groups/celw/ ) with the goal to investigate the synergic effect
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advantageous; candidates without prior experience should be motivated to learn. Comfortable working at the clinic–lab interface; excellent writing and communication in English (Dutch is an asset for patient
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or are willing to learn Dutch quickly. In your application, you demonstrate that you are capable of doing so. You are strong in planning and organizing and can work independently. Your teaching competences are in
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attention to quality, integrity, creativity and cooperation. You have a strong background in signal processing, with emphasis on acoustics, array processing, or time–frequency analysis. You are eager to learn
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. You are a practical problem solver, are hands-on and eager to learn. You have strong oral and written English proficiency. You have excellent interpersonal skills to collaborate constructively and
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, our people are at the heart of every breakthrough. Position You will work actively on the preparation and defence of a PhD thesis in the field of robust reinforcement learning (RL). This project