114 engineering-computation "https:" "https:" "https:" "https:" "UCL" "Brunel University London" PhD positions at Nature Careers
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PhD scholarship in synthesis and experimental studies of the phase behavior of ABC-miktoarm star ...
the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's
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program specific seminars as well as an individualized curriculum comprising lab and soft-skill courses, congresses, symposia and summer schools. Communication and teaching language throughout HBRS is
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integrate genetics, cell biology, genomics, and bio-computing to unravel plant biological processes and to further translate this knowledge into value for society. Please visit us at www.psb.ugent.be for more
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PhD Positions in Responsible AI 39 Faculty of Computer Science Startdate: 01.08.2026 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Limited until: 01.08.2029
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software engineering, computer science, data science, bioengineering, bioinformatics, engineering, physics or related Experience in either machine learning or computational biology. Interest in both
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To strengthen our team in the division “Acoustic and Electromagnetic Methods” in Berlin-Steglitz, starting 01.04.2026, we are looking for a PhD student (m/f/d) in the field of physics or engineering
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or engineering backgrounds. What the Franklin PhD Programme Offers A unique research-focused environment, plus collaborations with leading universities and global companies Access to brand-new labs and industrial
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biomaterials, (9) Data-driven materials development, and (10) Advanced materials analysis technology. R26-01 Materials Science R26-02 Materials Science (for women) - Researcher [Field specified]: one position
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, computer science, medicine, pharmacology, and physics. ISAS is a member of the Leibniz Association and is publicly funded by the Federal Republic of Germany and its federal states. At our location in
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science/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning