19 computer-engineer-"https:" "https:" "https:" "https:" "York University" PhD positions at University of Basel
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an interdisciplinary project in the field of biology, tissue engineering, material science, and chemistry. Complementary to experimental work, the candidate will work on computational models to understand and predict
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generate our own data, on the newest spatial and single-cell platforms. Required: ● MSc in computer science, mathematics, physics, engineering, computational biology or a related quantitative field ● Hands
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for scientific exchange with colleagues in related fields. Moreover, the Biozentrum offers excellent support from various core facilities with expert staff, and a structured PhD program. Our group embraces
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24 Jul 2026 Job Information Organisation/Company University of Basel Research Field Engineering » Electrical engineering Engineering » Other Physics » Optics Researcher Profile First Stage
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cells (https://doi.org/10.1038/s41579-025-01256-w ). Subcellular localization of T6SS assembly and timing of its firing is tightly regulated in various bacteria: Despite these breakthroughs, we still lack
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Position Description The Condensed Matter Theory and Quantum Computing Group at the University of Basel led by Prof. Jelena Klinovaja and Prof. Daniel Loss invites applications for PhD positions
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2026 - 21:59 (UTC) Country Switzerland Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to
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, Computer Science, and Engineering, who wish to pursue their research within one of our research groups. In addition to participating in world-leading vision research, candidates benefit from a comprehensive training
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Building a quantum computer that can solve real-world problems will require the integration of many highly coherent qubits. Hole-spin qubits in planar germanium quantum wells are among the most
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characterizing individual nanoclusters • Engineering and purify protein nanopores with tailored sensitivity to size, charge, and etc. • Developing data analysis pipelines and machine learning approaches for signal