28 phd-in-computer-vision-and-machine-learning Postdoctoral positions at University of Southern Denmark in Denmark
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, bioinformatics, aging biology, epidimological data and AI-driven systems modeling. The successful candidate will develop and apply computational and machine learning approaches to decode the molecular and
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employ cutting-edge single-cell and spatial omics technologies with bioinformatics and machine learning to decipher principles of gene regulation underlying cell identity and its disruption in human
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”, led by Prof. Daniel Merkle. The expected starting date is 1 Januar 2026, with room for flexibility in both directions. We are seeking a highly motivated individual with a PhD in computer
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completion of) a PhD in Computer Science or Mathematics. An ideal candidate has a research track record at a high international level (reflecting the academic age of the applicant) and experience with
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date is 1 Januar 2026, with room for flexibility in both directions. We are seeking a highly motivated individual with a PhD in computer science, computational chemistry / biochemistry, applied
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project. The research will bridge both established and emerging technical expertise within the section, encompassing areas such as FPGA and neuromorphic computing, Edge AI, machine learning, power
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chemistry, e.g., GCMS, HPLC and ECMS. Designing immobilization strategies. Collaborating on mechanistic and computational studies. Collaborating within the CAPeX pioneer center The successful candidate will
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models of quantum programming languages. The ideal candidate holds (or is expected to soon hold) a PhD degree in computer science, mathematics, physics, or a more specialised degree in quantum computing
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considerations. Experience working with machine learning methods for control, perception, or decision-making in physical systems is an advantage. Knowledge of or a passion for sustainable computing
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research project outlined above. You have: A PhD in life science, e.g., molecular biology or biochemistry. Expertise in CRISPR-Cas9 based gene editing. Experience with culturing green microalgae. Experience