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FMI and Novartis to integrate structural, cellular, and translational approaches. Drive scientific communication, including publications, presentations, and reports. About you You hold a PhD in
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-world application through collaborations. Supervise master/bachelor students Teaching assistant for the robotic materials class Profile PhD degree in Materials Science and Engineering, Mechanical
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Publishing research findings in leading international journals and presenting at conferences Active involvement in teaching and lab duties outside of the project (~15-20% of working time) Profile PhD in
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. Required PhD in Computer Science / AI / Machine Learning Strong publication record in AI, ML systems, or related areas Strong programming skills in Python, C/C++ and experience with PyTorch, TensorFlow, JAX
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. Where to apply E-mail lorraine.dubuis@unige.ch Requirements Research FieldPsychological sciencesEducation LevelPhD or equivalent Skills/Qualifications Desired profile: PhD in psychology, neuroscience
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methodologically strong and motivated to work at the intersection of applied machine learning, social sciences, and natural sciences. Essential qualifications: A completed PhD in data science, computer
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Publish high-impact research in leading journals and present findings at international conferences on energy systems and machine learning Collaborate with industry partner to tackle challenges of practical
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pipelines to support the labs long-term research interests Proactively manage the labs genomic data resources Supervise and mentor PhD and Masters students in comparative fungal genomics Assist in
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charge of your own research You will take part in the professorship’s academic and social activities You will teach one course of your choice per semester (2 weekly hours) in the MAGPW or SiP programs
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depth. PhD degree in Physics, optical engineering, biomedical engineering, electrical engineering, or closely related fields Excellent skills in development of complex optical systems Experience in