20 programming-languages-"the"-"CNRS"-"Humboldt-Stiftung-Foundation"-"U" PhD positions at SciLifeLab
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and accepted to the PhD program at Stockholm University. Project description Project title: “Deep learning modeling of spatial biology data for expression profile-based drug repurposing”. A new exciting
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in Python programming. Experience with machine learning methods, bioinformatics, and data science. Familiarity with generative AI tools for protein design and protein language models. Knowledge
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information about us, please visit: the Department of Biochemistry and Biophysics . About the DDLS PhD student program Data-driven life science (DDLS) uses data, computational methods and artificial
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project under supervision of experienced researchers and following an individual study plan. For a doctoral degree, the equivalent of four years of full-time doctoral education is required. The research
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deems relevant for the doctoral position. Good knowledge of English in both speech and writing is a requirement. The applicant must be able to teach in English. Additional qualifications A strong
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Program for Data-Driven Life Science (DDLS ) and the student joins its research program . Supervision: Associate Professor Hossein Azizpour What we offer Admission requirements To be admitted
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and experiences. We regard gender equality and diversity as a strength and an asset. The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS) is a 12-yr initiative funded with
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with the Julia programming language is advantageous Terms and conditions The doctoral student will be employed on a doctoral studentship maximum 4 years full-time. Application process Submit your
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Sciences, or a related field. Strong programming skills in Python Good understanding of chemistry and biology concepts Excellent communication skills in English (oral and written) Desirable skills/experience
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tools for end-to-end processing of next-generation sequencing data, from raw data to variant discovery (e.g., GATK pipeline). Experience with programming languages (e.g. bash, Python, and R). Experience