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Year's Day #very good compatibility private and professional life; offers of mobile and flexible work #PhD Buddy Program #free assistance program for employees (EAP) #corporate Benefits #office location in
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compatibility private and professional life; offers of mobile and flexible work #PhD Buddy Program #free assistance program for employees (EAP) #corporate Benefits #office location in the heart of the city of
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PhD position - Stress-testing future climate-resilient city and neighbourhood concepts (Test4Stress)
holidays between Christmas and New Year's Day #very good compatibility private and professional life; offers of mobile and flexible work #PhD Buddy Program #free assistance program for employees (EAP
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for up to 6 months before starting the PhD program. The position is available from 1st September 2025 or soon thereafter. Application deadline is 20. June 2025. Research Project MYC is a critical
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the microbiome as a key target for future therapeutic and preventative measures. MICRO-PATH is a competitive, interdisciplinary PhD programme supported by the PRIDE scheme of the Luxembourg National Research Fund
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opportunities Engage actively in the doctoral program For further information, please contact Prof. Stephanie Kreis: Your profile A Master's degree in a relevant field Experience with wet-lab techniques and
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. This development will be carried out in collaboration with the FHI-aims developer community. Applications of the method will be conducted in close cooperation with our experimental partners within the RTG2861-PCL
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through the DKFZ International PhD Program and DKFZ Career Service Our Corporate Health Management Program offers a holistic approach to your well-being Contact: Prof. Dr. Dieter Saur Telefon: +49 89 4140
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working environment Sustainable travel to work: subsidized Germany job ticket Unleash your full potential: targeted training and mentoring through the DKFZ International PhD Program and DKFZ Career Service
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to accelerate the energy transition in Luxembourg by co-creating an ambitious research program. It will utilize a data-driven approach to support decision-making for an optimal energy system, with specific focus