132 programming-"https:"-"https:"-"https:"-"I.E"-"UCL" Postdoctoral positions at Nature Careers
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qualifications: Strong experience in programming using Python, R, or other languages Research experience in remote sensing of cover crop, crop type classification, and crop biomass Insight into global
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facilities led by expert scientists, coupled with cutting-edge technology, accelerates research productivity. Customized Professional and Career Growth: Experience specifically designed programs to enhance
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PostDoc in "Sustaining the keystone: Rethinking Antarctic krill fishery management under climate ...
. Further details: As a Helmholtz Institute, the HIFMB contributes to one of the Helmholtz Research Programs (currently ‘Changing Earth – Sustaining our Future’) as part of a particular topic (6, Marine and
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programming skills in C++ and/or Python; experience with high-performance or real-time computing, e.g. GPU, multi-core, embedded, is desirable Prior experience with SOFA is a clear advantage; experience with
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-Gym-Lab Programming skills in C++, Python, and ROS framework We offer Multilingual and international character. Modern institution with a personal atmosphere. Staff coming from 90 countries. Member of
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intense mutual collaboration Salary according to tariff agreement, extra annual payment, and company pension plan (VBL) A respectful and appreciative work environment within a diverse team For inquiries
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to tariff agreement, extra annual payment, and company pension plan (VBL) 30 days of vacation per year, plus two additional days off on Christmas Eve and New Year's Eve Career development in a
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, disability, retirement, family life support, employee assistance program, onsite health clinic, income-based child care subsidy, tuition reimbursement, paid vacation (22 days per year), paid sick leave (up to
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programs (e.g. amino acid and lipid metabolism), signaling pathways (e.g. mTOR and nutrient signaling), and systems-level regulatory networks that regulate basic T cell and dendritic cell biology and
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journals. Proven experience with large-scale genomics or functional genomics datasets. Strong programming skills in Python and/or R, with experience in version control (e.g., Git) Familiarity with machine