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Field
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. Your profile An MSc degree in Artificial Intelligence, (Applied) Mathematics/Physics, Computer Science, Engineering or related field. A strong background/knowledge in machine learning and computer vision
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water resources engineering , preferably with a strong numerical modelling foundation. proven proficiency, or willingness to develop, technical skills relevant to hydro(geo)logical modelling, which allow
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) of the Faculty of Science and Engineering (FSE). The candidate will work under the supervision of Dr Christoffer Åberg, whose lab is focussed on quantifying how nanomedicines are internalised by cells
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://www.academictransfer.com/en/jobs/354978/phd-position-theory-of-learning… Requirements Specific Requirements You hold an MSc in physics, engineering physics or mathematics. You have a good command of analytical techniques
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Engineering at the University of Groningen. The preferred starting date is no later than 1 February 2026 The application should include: A letter of motivation to apply for this position. A curriculum vitae. A
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master’s degree in a relevant field (e.g., cognitive neuroscience, biomedical engineering, biological psychology) experience with programming (e.g., MATLAB, Python) hands-on experience with neuroscientific
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technology developers and stakeholders. Conducting prospective environmental impact assessments (LCA PhD) or dynamic MFA and circularity analyses (MFA PhD). Collaborating with consortium partners on data
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technology developers and stakeholders. Conducting prospective environmental impact assessments (LCA PhD) or dynamic MFA and circularity analyses (MFA PhD). Collaborating with consortium partners on data
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motivated, you have a collaborative and persevering mindset and a keen interest in memory research. a master’s degree in a relevant field (e.g., cognitive neuroscience, biomedical engineering, biological
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Engineering offer a 4-year M20 (Ubbo Emmius) Program funded PhD position for a project titled “Grassroots retrofitting: Towards community empowerment and fair residential energy transition using community-based