420 programming-"the"-"DAAD"-"U"-"IMPRS-ML"-"IMPRS-ML"-"O.P" Fellowship positions in United Kingdom
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leave: 35 Days Annual Leave plus Bank Holidays & Closure Days Generous pension scheme Cycle to Work & Electric Car Scheme Employee Assistance Programme Development opportunities Enhanced family leave
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% super Shape sustainable regional development Collaborate with industry and academia Investing in you - benefits package including salary packaging, health and wellbeing programs, discounted services, and
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, cultural practices and technologies between China and the Mediterranean or any sub-region between the two at any period up to the present day. This Research Fellowship is part of a broader programme, which
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independently and collaboratively in a research team. Competence in resource planning and effective resource use. Understanding of management and administration processes. Ability to plan and organise research
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. Salary Sacrifice Retirement Savings Plan with life assurance and income protection. Available to colleagues who choose to opt out of the contractual pension scheme. Minimum colleague contributions of 0
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independently and collaboratively in a research team. Competence in resource planning and effective resource use. Understanding of management and administration processes. Ability to plan and organise research
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opportunity to join a multidisciplinary team of researchers, clinicians, and patient partners on a 5-year collaborative research programme funded by a Wellcome Mental Health Award, ‘When your body betrays you
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candidate will work on an interdisciplinary Human Frontier Science Programme grant to unravel the functional ecology of heterotrophic protists, combining behavioural assays, ultrastructural and morphological
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at The University of Manchester. What you will get in return: Fantastic market leading Pension scheme Excellent employee health and wellbeing services including an Employee Assistance Programme Exceptional starting
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programming language Experience with statistical inference or machine learning methods (e.g. ABC, Bayesian modelling) A proven publication record with at least one first author publication in a peer-reviewed