24 coding-"https:"-"FEMTO-ST"-"Prof"-"AMOLF" "https:" "https:" "https:" scholarships in Sweden
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or population genetics theory Evidence of technical skills and interest (e.g., writing code, using git, HPC experience) Understanding of basic statistical methods Demonstrated ability to review and synthesize
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interest (e.g., writing code, using git, HPC experience) Understanding of basic statistical methods Demonstrated ability to review and synthesize literature into scientific concepts About us The Department
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)statistics, (applied) mathematics, computer science, or a related field; candidates from other fields with strong programming/coding skills (see below) are also encouraged to apply. Proficient in at least one
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. Meritorious A degree in bioinformatics, computational biology, (bio)statistics, (applied) mathematics, computer science, or a related field; candidates from other fields with strong programming/coding skills
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visit: https://www.scilifelab.se/data-driven/ddls-research-school/ The future of life science is data-driven. Will you be part of that change? Join us in this unique program! We offer Lund University is a
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: “The code that shapes the body: AI and digital phenotyping to decode evolutionary morphology in domesticated animals.” The project aims to uncover how genetic variation shapes body form and function by
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largely equivalent knowledge in some other way, in Sweden or abroad. The employment of doctoral students is regulated in the Swedish Code of Statues 1998: 80. Only those who are or have been admitted to PhD
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regulated in the Swedish Code of Statues 1998: 80. Only those who are or have been admitted to PhD-studies may be appointed to doctoral studentships. When an appointment to a doctoral studentship is made
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of the central open questions in biology. This project aims to address this challenge using cutting-edge AI and large-scale multimodal data. We are recruiting a PhD student for the project: “The code that shapes
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infection. For more information, please see https://www.scilifelab.se/data-driven/ddls-research-school/ The future of life science is data-driven. Will you be part of that change? Then join us in this unique