42 programming-"https:"-"APOS-UFFICIO-CONCORSI-DOCENTI" PhD positions at Nature Careers in Germany
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allowance. The employment will initially be limited to three years. Important: Applicants must not have resided in Germany for more than 12 months in the past three years. Group website: https://biophys.uni
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to support the compatibility of family and career Support for your personal and professional development through Heidelberg University's internal educational program Salary in accordance with the provisions
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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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regulations. Further information on data protection and the processing of personal data can be found at: https://www.isas.de/en/datenschutz . The closing date for applications is April 11, 2026. Please apply
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Call for applications We are pleased to announce the call for the second cohort of our Graduate Programme RNAmed – Future Leaders in RNA-based Medicine. Applications are invited for 11 PhD
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science, applied mathematics, physics or a similar area very good programming skills in Python good prior experience with neural networks using common Python-ML libraries such as PyTorch background knowledge in
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at: https://www.isas.de/en/datenschutz . The closing date for applications is April 18, 2026. Please apply via our applicant portal . If you have any questions (reference number393_2026), feel free to contact
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regulations. Further information on data protection and the processing of personal data can be found at: https://www.isas.de/en/datenschutz . The closing date for applications is March 25, 2026. Please apply
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and German legal regulations. Further information on data protection and the processing of personal data can be found at: https://www.isas.de/en/datenschutz . The closing date for applications is
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Research Assistant (m/f/d) with a Ph.D. in Civil Engineering, Engineering Physics, Physics, Mathemat
., using FEniCSx) Advanced knowledge of scientific programming, preferably in Python, including experience with implementing machine‑learning methods (e.g., PyTorch) Excellent spoken and written English, as