119 programming-"https:"-"Inserm"-"FEMTO-ST"-"https:"-"https:"-"https:" positions in Sweden
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programming capabilities with ample experience from previous projects are a requirement. Strong experience with Python, data analysis, and visualisation techniques is a bonus. The results of this work will be
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at KTH in the Biotechnology doctoral program (according to KTH’s regulations). Signing a researcher agreement is a necessary condition to accept this PhD position. More information about Formulation of
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can understand, use, and critically examine AI - while preparing future teachers for a school system where AI is becoming increasingly important. The research program is characterized by
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and tissue culture. Molecular biology and immunohistochemistry. Image analysis, data visualization, or programming. The position is full-time and limited to 6 months. Application Your application should
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Lab (lth-robotics-lab-infrastructure). Work duties You will primarily devote yourself to your doctoral programme, which includes participation in research projects as well as third cycle courses
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programs and courses at the undergraduate, advanced, and research levels. The social work program has approximately 1,200 students and is offered in parallel at the Lund and Helsingborg campuses. Duties and
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diffraction, spectroscopy, thermodynamics, or electron microscopy as well as knowledge of basic programming are meritorious. Consideration will also be given to good cooperation skills, drive and independence
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, and is financed by SciLifeLab and the Wallenberg National Program for Data-Driven Life Science (DDLS) and the Wallenberg AI, Autonomous Systems and Software Program (WASP). Work tasks and
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to complete the doctoral program. We offer Lund University is a governmental authority, which means you get special benefits, generous holidays and a favorable occupational pension. As a doctoral student at
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the appointment decision is made. The ability to plan and carry out research of high quality, teaching skills. Profound knowledge of numerical methods for partial differential equations. Knowledge of uncertainty