804 programming-"https:"-"https:"-"https:"-"BioData"-"BioData"-"BioData" positions at Nature Careers
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Applicants are invited for a PhD fellowship/scholarship at Graduate School of Technical Sciences, Aarhus University, Denmark, within the Biological and Chemical Engineering programme. The position
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Exciting predoctoral and postdoctoral training programs World-class courses and workshops focused on genetics, genomics and biomedicine Competitive compensation, outstanding benefits, relocation assistance
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‑on wet‑lab and in vivo therapeutic discovery in a funded translational program Base Salary, Academic Level A $113,400 - $121,054 + 17% superannuation About the opportunity The School of Life and
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July 1, 2026. Interested candidates may contact: Trachia Wilson, C-TAGME, CAP | Fellowship Program Coordinator Pediatric Infectious Diseases | St. Jude Children's Research Hospital Email: [email
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. Participate in teaching and education-related activities within the College of Medicine, MBRU. Minimum qualification: At least 2 years of post-doctoral or equivalent training experience. Strong programming
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grant: approximately US$32,545 Full insurance coverage & pension and various allowances included in compensation plan * Figures are estimates; amounts depend on currency exchange rates at the time of
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advanced programming skills, who wants to be engaged in developing and establishing novel imaging techniques, who like to work in an interdisciplinary team, and possesses excellent communication skills in
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Scientific Committee and with a business plan approved by the Board of Directors. Key Responsibilities – Ri.MED Center Pre-opening Phase Establish a visionary multi-year scientific plan for the Center. Propose
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research within an institute dedicated to engineering biology at an unprecedented scale. In this role you will support an internationally competitive research programme, leveraging GBI’s exceptional
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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