65 algorithm-development-"Prof"-"Washington-University-in-St"-"Prof" PhD positions at Nature Careers
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demonstrated experimental realizations and proven theoretical advantages. The project may involve several aspects, including mathematical theory, algorithm development, error correction, adaptation of GBS-based
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) for the project: Uncovering the evolution of metabolic interactions in intrinsically disordered peptides Project description While enzymes have specific binding pockets with well-known interaction residues
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Dortmund, we invite applications for a PhD Candidate (m/f/d): Analysis of Microscopic BIOMedical Images (AMBIOM) You will be responsible for Developing new machine learning algorithms for microscopy image
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algorithms. Graph Neural Networks. The candidate is expected to hold a relevant MSc degree in Computer Science, Data Science, Physics, (Applied) Mathematics, Computational Statistics or another field
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slicing. - Develop advanced AI/ML algorithms and data analytics techniques to automate and optimise exposure requests, adapted to available resources and real-time demand. - Propose and
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of Dr Jing Ren at the MRC Laboratory of Molecular Biology (Cambridge, U.K.) to map the serotonin circuit development by tissue clearing and expansion microscopy. The serotonin (5-HT) system is essential
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Robotisation (PROMAR) group, headed by Matthias Rupp. The group develops fundamental and technological expertise in machine learning for materials science, including data-driven accelerated simulations and
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for Ion Nano-Analytics (AINA) group at LIST, a research team specialized in mass spectrometry. AINA combines expertise in instrument development, nano-analytical techniques, and methodological innovation
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initiative investigating how human-specific features of brain development shape early behavior and neural circuit function in autism spectrum disorders (ASD). This position is a joint effort between the
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“planar scanning probe microscopy”, a flexible approach to scanning probe microscopy developed in our group (Ernst … Reinhard, ACS Photonics 6, 2 (2019)) to turn nanogap cavities into a scanning probe