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program, our laboratory addresses three central questions: ● Why do breast cancer therapies stop working? ● How can the patients developing resistance, and the biology driving it, be identified from a
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About the Role We are seeking an enthusiastic and highly motivated Postdoctoral Research Associate to join a BBSRC-funded research programme investigating how immune and metabolic pathways interact
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the use of machine learning for regression tasks. Demonstrated proficiency with Python or similar scientific programming environment. Ability to work with large datasets, develop reproducible workflows and
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, including its seminars, reading groups, workshops and visitor programme. What we offer you We will give you a temporary employment contract of 2 year(s). Your salary within salary scale 10 depends on your
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workforce development mission by developing and delivering AI workshops, tutorials, and microcredential programs. Expected activities include publishing high-impact research, mentoring graduate students
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. The candidate will assume a primary role in spearheading the development of a comprehensive growth, synthesis, and innovative characterization experimental program specifically tailored to diamond
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(ORNL) Technical and Professional Internships (TPI) Program provides students and recent graduates with the opportunity to be mentored by world-class technical and professional staff who support the
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for crisis intervention, consultation, referral, outreach, and scheduled 24-hour emergency consultation. In addition, the Post-Doctoral Fellow has an administrative role in the advanced practicum program and
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Max Planck Institute of Immunobiology and Epigenetics, Freiburg | Freiburg im Breisgau, Baden W rttemberg | Germany | 17 days ago
for Pore-C data Image analysis Programming in R and/or python Your profile We are looking for a motivated team player with strong communication skills and the desire to work in a dynamic environment
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chemical environments and correlated disorder to thermodynamic stability and transport. The research will form a central part of CENSEMAT's simulation-guided materials programme and will be carried out in