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community. Job requirements You have: A PhD in education sciences, learning sciences, engineering education, or a closely related discipline. Proven expertise or strong interest in educational research design
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profile: A PhD in AI, preferably at the interface of information retrieval and machine learning; Research background in generative information retrieval, with publications in the leading venues relevant
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, providing a chance to test your models in real-world scenarios. You will also have the chance to closely collaborate with a SmartEM PhD candidate.
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be discussed (minimum of 0,8 FTE on-project). Your experience and profile: PhD degree in Cognitive, Computational, or Clinical Neuroscience; good programming skills (R and/or Python); proficient in
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community). What we ask of you We are looking for enthusiastic and curious candidates who meet the following profile: A PhD in AI, preferably at the interface of information retrieval and machine learning
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: Has obtained (or is about to defend) a PhD in chemistry, physical chemistry, physics, materials science, or a related field. Is a highly motivated and enthusiastic researcher with a strong interest in
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atmospheric modelling. You enjoy teamwork in an international setting and can also work independently to move projects forward. You also possess: A PhD in atmospheric sciences, physics, remote sensing, or a
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deep-sea mining. You are a team player, with: A PhD degree in mechanical engineering, maritime/ocean engineering, civil engineering, mining engineering or a closely related field. A solid background in
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deep-sea mining. You are a team player, with: A PhD degree in mechanical engineering, maritime/ocean engineering, civil engineering, mining engineering or a closely related field. A solid background in
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PhD degree in molecular plant biology, microbiology or host-associated microbiomes; demonstrated hands-on experience with some of the following techniques and skills: 16S amplicon sequencing