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Field
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Type of Position Temporary Position Time Status Full-Time Required Education PhD or Professional degree Required Related Experience molecular, cellular, and in vivo breast cancer research Required
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Employment 1.0 FTE Gross monthly salary € 3,546 - € 5,538 Required background PhD Organizational unit Faculty of Science Application deadline 12 October 2025 Apply now Are you a scientist with a PhD
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to collaborate, take part in network events and undertake research placements within this project. You will have a PhD in Physical Sciences or a closely related field, and you will have a background in the
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | about 1 month ago
Your profile # Completed PhD in chemistry, geology, physics or related areas # Experience in sample preparation of cosmogenic radionuclides for accelerator mass spectrometry # Proven knowledge in
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in network science. NetSI faculty and researchers are working to advance the understanding of complex systems through the lens of networks, and to apply this knowledge to solve real-world problems in a
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program). Your qualifications A PhD in psychology or a related field. Knowledge of loneliness research, preferably with a focus on interventions. Experience with literature reviews and quantitative methods
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(TUE), CWI, IMEC and Delft University of Technology. You will be part of a diverse and passionate research team of academic staff, PhD candidates and Postdoctoral researchers in the Computer Engineering
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work, the candidate will collaborate with CENTMED staff and leadership to prepare technology documentation and facilitate the translation of innovations to industry. Applicants must have a PhD in
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that postdoctoral researchers receive the guidance and resources necessary to thrive in both academic and applied research settings. Qualifications: PhD in Neuroscience, Psychology, Psychiatry, Biomedical Engineering
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Privacy, (iv) Analysis of Academic Collaborations, (v) Human-Bot interaction, (vi) Network Science. The ideal candidate is self-motivated and hard-working with a PhD in one of the following: Data Science