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abilities while empowering everyone to reach their full potential. TUD embodies a university culture that is characterized by cosmopolitanism, mutual appreciation, thriving innovation and active participation
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team members, we aim to foster innovation and advance excellence in neuroscience research. We believe that a diverse and inclusive workplace is essential for scientific creativity, effective
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engineering a strong background in digital design, hardware description languages (e.g. Verilog, VHDL, SystemC), reconfigurable architectures (e.g. FPGA, CGRA) What we expect from you: above-average degree
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for work and leisure. Welcome... ...to the University Medicine Greifswald – where innovation meets tradition and together we shape the future of healthcare. We are proud of our diverse team of professionals
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by cosmopolitanism, mutual appreciation, thriving innovation and active participation. For TUD diversity is an essential feature and a quality criterion of an excellent university. Accordingly, we
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be important. You are expected to actively contribute to joint research projects, experimental design, and data interpretation across disciplinary boundaries. Responsibilities and qualifications Your
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an individual study plan. For a doctoral degree, the equivalent of four years of full-time doctoral education is required. The research group Join us at the department of Oncology-Pathology, Karolinska Institutet
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, Reliability and Trust (SnT) at the University of Luxembourg is a leading international research and innovation centre in secure, reliable and trustworthy ICT systems and services. We play an instrumental role
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PhD scholarship in Biomaterials-based Approach for the Creation of Artificial Red Blood Cells - D...
: Designing and synthesizing hemoglobin-loaded polymeric nanocarriers Functionalizing them with stealth coatings for prolonged circulation Characterizing them using microscopy, spectroscopy, and flow techniques
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and next generation sequencing data. Graphical output of data analysis for publication demonstrated experience in statistical analysis and designing computational methods and tools, including prior