77 programming-"https:" "https:" "https:" "BioData" PhD scholarships at Nature Careers
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programme at the Faculty of Science . The ideal candidate has a background in or experience with one or more of the following topics: Advanced deep learning architectures Mathematical foundations of machine
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present your research plan to the faculty and complete a dissertation agreement within 12-18 months. This will be reviewed and adapted on an annual basis. • You will work on your dissertation and towards
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: Salary according to tariff agreement, extra annual payment, and company pension plan (VBL) 30 days of vacation per year, plus two additional days off on Christmas Eve and New Year's Eve A wide range of
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(advantageous but not required) experience in electrochemistry or photoelectrochemistry experience in materials synthesis and characterization familiarity with operando or in situ techniques basic programming
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payment, and company pension plan (VBL) 30 days of vacation per year, plus two additional days off on Christmas Eve and New Year's Eve Competitive, interdisciplinary, and international research environment
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Programming skills (e.g., Python, R, C/C++) Knowledge of workflow management systems (e.g., Snakemake) is beneficial High motivation for scientific work and willingness to contribute to an interdisciplinary
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collaboration Structured PhD-training programme with a wide range of professional development opportunities Salary according to tariff agreement, extra annual payment, and company pension plan (VBL) A respectful
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Computer Science, Medical Informatics, Business Informatics, or a related discipline Knowledge of database systems, data integration, and data warehousing Programming skills, ideally in Java and/or Kotlin Interest
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(spoken and written); German skills are advantageous WE OFFER: Salary according to tariff agreement, extra annual payment, and company pension plan (VBL) 30 days of vacation per year, plus two additional
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Competitive, interdisciplinary, and international research environment with a track record of intense mutual collaboration Structured PhD-training programme with a wide range of an professional development