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internationally recognized scientists who are leaders in such disciplines as AI/machine learning (Dr. Madan Babu), NMR (Dr. Charalampos Kalodimos), cryo-EM/ET (Dr. Elizabeth Kellogg and Dr. Georgios Skiniotis
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Source (ESS), Sweden, the European Molecular Biology Laboratory (EMBL), Institut Laue-Langevin (ILL), France, the International Institute of Molecular Mechanisms and Machines, (IMOL), Poland, and the
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researcher with a background in (bio)geo- or atmospheric chemistry, with a particular interest in the global carbon cycle and related machine learning applications, who has a critical eye, a deep understanding
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a challenging problem. Candidate profile PhD on optimization and/or image processing. Strong background in applied mathematics, image processing, learning methods and algorithms. Good coding skills
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Pneumatic Tires, Structure-Process-Properties Relationships. How will you contribute? Do you have proven skills in data analysis, machine learning, as well as in mathematical and computational modelling? You
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mission by enabling us to harness the power of data science to drive scientific discovery and innovation. By leveraging advanced data analytics, machine learning, and artificial intelligence, the ODS will
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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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include absence due to illness, parental leave, appointments of trust in trade union organizations, military service, or similar circumstances, as well as clinical practice or other forms of appointment
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currently exploring a range of exciting topics at the intersection between computational neuroscience and probabilistic machine learning, in particular, to derive mechanistic insights from neural data. We
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, single-cell analysis, and machine/deep learning (preferred but not required). Strong programming and statistical skills (e.g., Python, Perl, R, Bash). Track record of first-author research papers. Strong