203 coding-"https:"-"Prof"-"FEMTO-ST"-"https:"-"https:"-"https:"-"U.S" Fellowship positions
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frameworks. Expertise in modeling geophysical systems. Strong proficiency in machine learning libraries such as PyTorch. Proficiency in writing clean, efficient, and well-documented code. Knowledge
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is also placed on your: has expertise in software tools related to simulation/ optimization of energy systems, and coding using a high-level language (e.g. Python) has experience in analyzing multi
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Demonstration of relevant outputs (e.g. publications, code, etc.) High level analytical capability Ability to communicate complex information clearly Fluency in relevant models, techniques or methods and ability
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(e.g., LabArchives, BioRender). Desirable Demonstrated experience in fermentation control, optimisation and scale-up. Experience in the use of electronic lab books Experience in coding languages (Python
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& Immunology (6) Pediatrics-Administration (6) Pediatrics-Neurology (6) Professional Coding & Revenue (6) School of Nursing (6) Surgery - Vascular (6) UMSL GEOSPATIAL (6) Admissions (5) Biomed Informatics
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NOK 657 000 for a full-time position (code 1352). Further salary increases will be based on seniority in the position. Enrolment in the Norwegian Public Service Pension Fund , which provides a secure
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Max Planck Institute for the Study of Religious and Ethnic Diversity, Göttingen | Gottingen, Niedersachsen | Germany | 30 days ago
Job Code: PIC20251125 Job Offer from November 26, 2025 The Max Planck Institute for the Study of Religious and Ethnic Diversity studies central social science questions such as social and political
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of building secure, reproducible workflows that make this process seamless for researchers and clinicians. You’ll also have a flair for coding in python and/or Laravel, problem-solving, with experience in web
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and optimise code and digital-twinning platforms with industry partners, produce high-quality research outputs and reports, contribute to funding applications, and deliver training workshops and
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systems and developing new design methods. Key Responsibilities: Conduct experiments on innovative structure systems Conduct numerical modelling Assess existing design codes Propose new improved design