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Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig | Leipzig, Sachsen | Germany | 2 months ago
to establish a new generation of tools for quantitative brain metallomics, enabling early detection and mechanistic understanding of neurodegenerative diseases such as Parkinson’s and Alzheimer’s
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but also a good team player and are willing to cooperate closely with other researchers and our industry partners. Furthermore, you meet the following requirements: You hold a PhD degree in Materials
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, tasks, duties, and assignments. Furthermore, job duties, responsibilities and activities may change at any time with or without notice. Required Qualifications Education: PhD, MD, or equivalent doctoral
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information about our research group can be found at: https://autonomousrobots.nl/ Job requirements We are looking for a candidate with: A PhD degree in Robotics, Control, Aerospace Engineering, Mechanical
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. The project uses one of the most widespread local institutions in East Central Europe — the Roman Catholic parish — as its comparative framework. It explores patterns of communal supervision over parishes
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scattering and direct dark matter detection, using advanced cryogenic detectors. The MBI hosts a research group dedicated to Machine Learning in Particle Physics. Qualifications: PhD in Particle Physics
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their curiosity and their continuous pursuit of excellence, engage in international cutting-edge research and teaching. With us, you will also find space to unfold your potential. We are looking for a/an University
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. The candidate will gain experience in fundamental and applied research in materials science, engineering, and high-performance polymers, opening perspectives in academia and industry. Where to apply Website https
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system, Food Compass , under the mentorship and guidance of Institute Director Dr. Dariush Mozaffarian . Bringing together research, training, patient services, policy development, and community engagement
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PhD in Physics, Applied Science, or a related discipline Experience in statistical physics, stochastic processes and/or data analysis methods Strong interest in engaging and collaborating with