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Field
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investigate the cell division cycle of Cryptococcus neoformans. This position requires a minimum of a PhD degree. Applicants should hold a PhD in Biology or a related field and have expertise in fungal genetics
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in Academia. Who You Are: Recent or pending PhD graduate in a relevant field of science. Preferred Majors/Disciplines: Biology, Biochemistry, Biomedical Engineering, Biomedical Science, Cell Biology
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in Mechanical Engineering, Materials Science Engineering, Physics or related field Desired Experience: An experimental PhD thesis and familiarity with laboratory environment and good practices in
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supervision of Dr. Abeer Eshra and co-supervised by Prof. Damien Woods. It will be based at the Hamilton Institute with a possible co-appointment in the Department of Computer Science. The project combines
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Field: Mining Engineering, Industrial Engineering, Data Science Duration: 12 months, renewable once. Location: UM6P, Benguerir Campus Preferred Start Date: As soon as possible Context and Objectives
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | 9 days ago
Job Code: 09-25 Job Offer from July 04, 2025 The Max Planck Institute for Multidisciplinary Sciences is a leading international research institute of exceptional scientific breadth. With more than
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recently completed (or be close to completing) a PhD in Computer Science, Machine Learning, Natural Language Processing (NLP), or a related field, with a thesis focused on AI, specifically LLMs
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across domains. The research unit Intelligent Systems (IS) in Computer Science is focused on the development of Data Science, Pattern Recognition and Machine Learning algorithms for interdisciplinary data
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Associate: A PhD (or equivalent) in an area pertinent to the subject area, i.e. Computer Science, Machine Learning, Robotics. Research Assistant: A Master’s degree (or equivalent) in an area pertinent
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papers and presenting work at seminars and conferences. Required Knowledge, Skills, and Abilities: PhD in physical chemistry, or a related field. Preferred Knowledge, Skills, and Abilities: Experience in