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in their management and optimisation. This position offers an excellent opportunity to further develop bioinformatics expertise in a dynamic, multidisciplinary environment, with scope to design and
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Swiss Federal Institute for Forest, Snow and Landscape Research WSL | Switzerland | about 14 hours ago
the monitoring of post-windthrow forest regeneration dynamics (e.g., forest structure, deadwood amount, tree regeneration, soil cover). You have a Bachelor’s or Master’s degree in forestry, environmental science
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refer to https://www.uni.lu/snt-en/research-groups/sigcom/ . Your role The successful candidate will join the SIGCOM Research Group, led by Prof. Symeon Chatzinotas. This PhD project aims to develop
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, the laboratory engages with the economic world and various scientific areas across a wide array of applications: fluid dynamics ; theoretical physics, mechanics and chemistry ; control, optimization and finance
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dynamical scientific environment, and have access to many research platforms, including well-equipped imaging and animal facilities. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR9197-LUCEST
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. 60 points) is required. Programme start: summer 2026. More information can be found here https://www.mayer-lab.com/ and here https://www.mpgc-mainz.de/10054/FAQ Please provide transcripts, diplomas
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doing their final assignment on sub-projects pertaining to the current research project. The PhD research will be performed in the Production Technology group. Where to apply Website https
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, goal-setting, imagery, team dynamics, burnout and coach-athlete relationships. Estimated TA support: 2 TA @ 70 hrs = 140 hrs Estimated course enrolment: 90 Class schedule: W 9:30-12:30 Plus 3 hours ASYNC
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-depth analysis of disease dynamics and the development of targeted therapies. Required: Master's degree (or equivalent) in medical, biological or related sciences Experience maintaining cultures
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performing atomistic simulations with Density Functional Theory and Molecular Dynamics. Data analysis and coarse graining in order to provide parametrisations for upper scale models (Kinetic Monte Carlo and