1,308 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "NORTHUMBRIA UNIVERSITY" positions at Nature Careers
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immunology Experience with T cell engineering (CAR-T, TCR-T) and/or immunopeptidomics is preferred (but not required). At Dana-Farber Cancer Institute, we work every day to create an innovative, caring, and
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are proud signatories of the Armed Forces Covenant and welcome applications from service people. Further information For further information. please contact Professor Gordon Brown, email Gordon.brown
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on their potential and demonstrated skills in teaching and research. The candidates should have a solid background or experience in multi-omics data analysis, including, for example, machine learning. Additionally
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to buy additional days Pension Life Assurance Income Protection Private Medical Insurance Hospital Cash Plan Therapy Services Perk Box Electric Car Scheme Childcare benefit What we offer: Newly constructed
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to integrating computational simulation, data science, and deep learning technologies to deeply explore structure–property relationships in materials. Its goal is to drive the precise design and development of new
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sedimentary archives, to facilitate and use in-situ and remote sensing observations of polar environments, and to acquire skills within VibroSeismic data acquisition, analysis and interpretation. The position
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, Italy, SSM is a prestigious institution of higher learning and research with a deeply rooted interdisciplinary approach and a global perspective. Renowned for its rigorous selection process, SSM admits
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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-Computer Interaction, Software Engineering, Computational Sciences, or a in a similar field Strong foundation in programming, algorithms, and experimental or applied research in a technical domain and
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the critical need for child-centric safe AI by developing a norm-first Belief-Desire-Intention (BDI) architecture where generative models (LLMs) are constrained by machine-readable child-protection policies