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challenges of our time and conduct research into the possibilities of a digitized society, a climate-friendly energy system, and a resource-efficient economy. Work together with around 7,600 employees in one
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) • The successful candidate will have the opportunity to work towards a PhD Required qualifications: • Completed university degree (M.Sc. or comparable) in biology or a related field • Solid knowledge of molecular
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, microbiology, biotechnology, or a related field Prior experience in phage biology, molecular biology, microbiology, and/or biochemistry Highly motivated and independent and able to work as part of
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on performance and project needs. **Qualifications** • For Doctoral Candidates: Master’s degree in Computer Science, Information Systems, or Mathematics. **Applicants must demonstrate:** • An excellent academic
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) • The successful candidate will have the opportunity to work towards a PhD Required qualifications: • Completed university degree (M.Sc. or comparable) in biology or a related field • Solid knowledge of molecular
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. Responsibilities We offer two PhD positions, eachexploring a different part of this challenge: PhD 1:Teach anaerobes to survive a breath of air. You will push oxygen-sensitive microbes to their limits, uncover how
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applications in information technology and are based on electrical, magnetic or optical functionalities. The Department of Quantum Technologies is looking for a PhD Student (f/m/d) - Imaging magnetic structures
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perform a risk analysis of the resulting model outputs Present your scientific results at conferences, workshops, and seminars, and publish the work in peer‑reviewed journals Collaborate with project
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38750052, 33382973). RESPONSIBILITIES: You will study mechanisms of peripheral nerve and brain border immunology by applying animal models and spatial transcriptomics at the Department of Neurology as part
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of Coherent (optical) Transition Radiation involved in measuring electron bunches from laser wakefield acceleration (LWFA) Implement physical forward functions in a differentiable form using pyTorch (e.g. COTR