61 computer-programmer-"https:"-"UCL"-"https:"-"https:"-"https:"-"https:"-"J" positions at Leibniz
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The Ferdinand-Braun-Institut, Leibniz-Institut für Höchstfrequenztechnik (FBH) is an application-oriented research institute in the fields of high-frequency electronics, photonics and quantum physics. It researches and realizes electronic and optical components, modules and systems based on...
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company pension plan with VBLU Diverse opportunities and support for professional and personal development for academic or non-academic career development Excellent research environment and networking
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Computing and Data Science, which is currently being established at JLU. At JLU, the professorship contributes to teaching at a rate of two semester hours per week. You will be responsible for teaching
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practical tools for the development of new test methods for multifunctional composite components. The focus is on X-ray computed tomography and ultrasound-based methods (pulse-echo ultrasound, guided waves
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. The JLU aims for a higher proportion of women in accordance with the women's promotion plan. We therefore particularly encourage qualified female candidates to apply. JLU is certified as a family-friendly
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challenging tasks and family-friendly working conditions Company pension plan (VBL) Company health promotion and the opportunity to participate in company fitness with EGYM Wellpass Submission of application
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strains into public culture collections, including standardized quality control and documentation. The position is funded through two interconnected projects within the DFG Priority Programmes Biodiversity
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perspectives on peace and conflict, and so on. The activity plan should be envisioned in connection with the production of the Visualising Conflict/Peace Atlas, as well as producing your own journalistic output
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offers a lively, international research environment with well-equipped laboratories and computational facilities. The DSMZ strives to increase the proportion of female scientists and encourage female
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qualifications Successfully completed university degree (master, diploma, or equivalent) in computer science, physics, engineering, mathematics, or comparable field, In-depth theoretical knowledge in Machine