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Max Planck Institute for Gravitational Physics, Potsdam-Golm | Potsdam, Brandenburg | Germany | about 2 months ago
background is an asset. Other essential attributes include attention to detail, exceptional organizational skills, the ability to manage multiple tasks efficiently, and a proactive approach to problem-solving
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website. What you will do Conduct experiments on laser material deposition with multiple ceramic materials Metallography of deposited materials Analysis of bonding defects and bonding strength Analysis
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circadian rhythms of metabolism and immune parameters, as well as the effects of intermittent fasting, in individuals with multiple sclerosis compared to healthy participants. Your tasks: Support of 24-hour
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applications from candidates with disabilities. If multiple candidates prove to be equally qualified, those with disabilities or with equivalent status pursuant to the German Social Code IX (SGB IX) will receive
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approaches to study how cells and organisms interact with each other and respond to change at multiple levels (molecules, cells, tissues and populations). These themes are embedded in the research within
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-friendly university and offers a Dual Career Service. We welcome applications from candidates with disabilities. If multiple candidates prove to be equally qualified, those with disabilities or with
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family-friendly university. We welcome applications from candidates with disabilities. If multiple candidates prove to be equally qualified, those with disabilities or with equivalent status pursuant
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interested individual with the potential to become a leader in the team. Intellectual flexibility and the ability to work in a multidisciplinary environment on multiple scientific and infrastructure projects
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and professionalism Strong writing and editing skills Experience in data and modelling related methods (practical experience in AI is a bonus) Attention to detail Ability to juggle multiple tasks and
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species spanning hundreds of millions of years across all layers of gene regulation and under different growth conditions. Moreover, EPIC will design nearly a million sequences to systematically test and