106 engineering-computation-"https:" "https:" "https:" "https:" "University of Minho" PhD positions at Nature Careers
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-01-01), together with leading researchers across Europe. You will become part of a cohort of 13 PhD students jointly trained in modern biophysical techniques involving both computational and
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) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission of teaching and
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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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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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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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, 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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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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DTU Tenure Track Researcher in Experimental High Pressure Phase Behavior for CO2 Storage and Othe...
with the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union. The position is part of DTU’s Tenure Track program. Read more about the program and
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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